50+ Artificial Intelligence (AI) Jobs in India

AI Automation Engineer – Intelligent Systems

(AI Generalist – Automation & Intelligent Systems)

📍 Location: Bengaluru (Onsite)

🏢 Company: Learners Point Academy

📊 Reporting To: Head

🕒 Employment Type: Full-Time

🎯 Role Summary

Learners Point Academy is seeking a hands-on AI Automation Engineer to architect, deploy, and scale intelligent automation systems across Sales, Marketing, Academics, Operations, Finance, and Customer Experience.

🧠 What This Role Requires:

• A Systems Thinker
• A Hands-on Builder
• An Automation Architect
• An AI Deployment Specialist

Core Responsibilities

1️⃣ Operational Workflow Automation

• Automate CRM workflows (Bitrix24 / Zoho or similar)
• Build intelligent lead scoring systems
• Auto-generate proposals from structured CRM inputs
• Deploy WhatsApp automation with tiered logic
• Design cross-functional task routing systems
• Implement automated follow-up sequences
• Build cross-department reporting pipelines

2️⃣ AI Agents & Intelligence Systems

• Build internal AI Sales Assistant (copilot model)
• Develop Academic AI Assistant (summaries, grading support)
• Create AI-powered reporting dashboards
• Build centralized AI knowledge base
• Develop customer segmentation intelligence
• Implement predictive closure timeline models

3️⃣ LMS & Assessment Automation

• Design AI-powered quiz generation systems
• Implement auto-grading frameworks
• Integrate Zoom attendance with LMS tracking
• Automate certification workflows
• Build student performance dashboards
• Ensure seamless LMS–CRM synchronization

4️⃣ Revenue & Growth Intelligence

• Develop pipeline scoring engines
• Deploy sales copilot (email drafting, objection handling)
• Build AI-driven pricing optimization tools
• Design churn prediction logic
• Automate ad spend tracking systems
• Create performance intelligence dashboards

5️⃣ AI Architecture & Governance

• Define AI usage SOPs
• Maintain structured prompt libraries
• Document system architecture & workflows
• Ensure scalable, secure system design
• Build reusable frameworks — avoid patchwork automation

🔧 Required Technical Skills

Mandatory:

• Workflow Automation: Zapier / Make / n8n
• CRM Automation (Bitrix24 / Zoho / similar)
• LLM API Integration (OpenAI, Claude, etc.)
• REST APIs & Webhook Integrations
• Python or JavaScript scripting
• Google Workspace Automation
• Business Process Automation Design

Good to Have

• Lang Chain or AI Agent Frameworks
• Vector Databases & RAG Systems
• Whats App Business API Integration
• Workflow Orchestration Tools
• BI Tools (Power BI / Looker)
• LMS Integration Experience

🎓 Qualifications

• Bachelor’s / Master’s in Engineering, Computer Science, AI, or related field
• 3–6 years experience in AI deployment, automation, or systems integration
• Demonstrated experience implementing automation in business environments
• Portfolio of deployed AI systems (production-grade, not academic-only)

📈 Ideal Candidate Profile

You:

• Think in systems, not scripts
• Understand real-world business workflows
• Have deployed AI agents in production
• Can connect CRM + LMS + Communication tools seamlessly
• Can explain technical architecture clearly to leadership
• Prefer measurable business impact over experimental prototypes

🚫

This Role Is NOT For

• Pure ML researchers
• Academic AI model developers
• Candidates without business automation exposure
• Candidates without real deployment experience

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

About Us

AtDrive Infotech is a forward-thinking IT company dedicated to delivering innovative solutions using cutting-edge web technologies. We are passionate about creating intelligent, scalable, and cohesive applications that drive impact. We are seeking skilled Web Developers to join our dynamic team and contribute to transformative projects.

Key Responsibilities

• Design, architect, and develop secure, high-performance, and scalable web solutions.
• Manage the full application lifecycle, including concept, design, development, testing, deployment, release, and ongoing support.
• Create engaging, device-specific user interfaces to enhance user experience.
• Develop and maintain robust APIs to support seamless integration and functionality.
• Participate actively in all phases of the software development lifecycle.
• Provide technical and architectural leadership to development teams.

Qualifications

• Bachelor’s or Master’s degree in Engineering, specializing in Computer Science, Information Technology, or a related field.
• Minimum of 1 year of relevant experience in web design and development.

Desired Skills and Experience

• Core Technical Skills:
• Strong expertise in Angular for building dynamic, client-side applications.
• Proficiency in Node.js for developing scalable server-side applications.
• Advanced knowledge of MySQL for designing and managing relational databases.
• Expertise in API Development for creating secure, efficient, and scalable APIs to support application functionality and third-party integrations.
• Hands-on experience with web technologies: JavaScript, Bootstrap, jQuery, HTML5, CSS, and open-source platforms.
• Proficiency in CSS customization and MVC frameworks.
• Experience with AJAX, XML, and e-commerce platforms.
• AI Knowledge:
• Familiarity with AI concepts and their application in web development (e.g., integrating AI-driven features or APIs).
• Client Communication:
• Exceptional written and verbal communication skills in English, with the ability to effectively collaborate with clients and stakeholders.
• Additional Skills:
• Real-time testing capabilities during development to ensure quality.
• Exposure to client-side technologies like AngularJS is a plus.
• Ability to work independently and collaboratively within a team.
• Strong dedication and commitment to delivering high-quality work.

Personal Attributes

• Thrives in a fast-paced, dynamic environment with a focus on quality and efficiency.
• Strong problem-solving and troubleshooting skills.
• Excellent interpersonal and communication skills (both verbal and written).
• Ability to prioritize and manage multiple tasks to meet tight deadlines.
• Self-motivated with the ability to work with minimal supervision.
• Innovative and proactive approach to problem-solving.
• Flexible and adaptable, with a strong sense of ownership for resolving challenges.
• Capable of multitasking under pressure while maintaining high standards.

Evaluation Criteria

Candidates will be assessed based on the following key parameters:

• Angular Expertise: Demonstrated ability to build robust, dynamic web applications using Angular.
• Node.js Proficiency: Experience in developing efficient, scalable server-side applications.
• MySQL Competence: Strong skills in designing and optimizing relational databases.
• API Development: Proficiency in designing and implementing secure, efficient, and scalable APIs.
• AI Knowledge: Understanding of AI concepts and their practical application in web development.
• Client Communication: Ability to clearly articulate technical concepts and collaborate effectively with clients.

Why Join Us?

If you are passionate about web development, eager to work on challenging projects, and ready to contribute to AtDrive Infotech’s success, we invite you to apply. Join our team and be part of an exciting journey to shape the future of technology!

Apply Now: Share your resume and portfolio to embark on a rewarding career with AtDrive Infotech.

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

🤖 Robotics Engineer

Company: Pentabay Softwares

Location: Anna Salai (Mount Road), Chennai

Employment Type: Full-Time

🔹 Job Summary

Pentabay Softwares is seeking a highly skilled and innovative Robotics Engineer to design, develop, test, and implement robotic systems and automation solutions. The ideal candidate will have strong technical expertise in robotics programming, control systems, and hardware integration, along with a passion for building intelligent and efficient systems.

🔹 Key Responsibilities

Design, develop, and test robotic systems and automation solutions

Develop and implement control algorithms and motion planning systems

Integrate sensors, actuators, and embedded systems

Program robots using languages such as Python, C++, or ROS

Troubleshoot, debug, and optimize robotic applications

Collaborate with cross-functional teams including software, hardware, and AI engineers

Ensure compliance with safety and quality standards

Document system architecture, processes, and technical specifications

🔹 Required Qualifications

Bachelor’s or Master’s degree in Robotics, Mechatronics, Mechanical, Electronics, or related field

2+ years of experience in robotics development (preferred)

Strong knowledge of robotics frameworks (e.g., ROS)

Experience with microcontrollers, embedded systems, and sensor integration

Familiarity with AI/ML concepts is a plus

Strong analytical and problem-solving skills

🔹 Preferred Skills

Experience with computer vision systems

Knowledge of SLAM, kinematics, and motion planning

Experience with industrial automation or autonomous systems

Strong teamwork and communication skills

🌟 Why Join Pentabay Softwares?

Work on innovative and future-focused technologies

Collaborative and growth-oriented work culture

Opportunities for skill development and career advancement

Exposure to cutting-edge automation and AI-driven projects

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Job Description -

Profile: AI/ML

Experience: 4-8 Years

Mode: Remote

Mandatory Skills - AI/ML, LLM, RAG, Agentic AI, Traditional ML,  GCP

Must-Have:

● Proven experience as an AI/ML specifically with a focus on Generative AI and Large Language Models (LLMs) in production.

● Deep expertise in building Agentic Workflows using frameworks like LangChain, LangGraph, or AutoGen.

● Strong proficiency in designing RAG (Retrieval-Augmented Generation) 

● Experience with Function Calling/Tool Use in LLMs to connect AI models with external APIs (REST/gRPC) for transactional tasks

● Hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, Model Garden, and deploying models on GPUs

● Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

Why Antier?

In today’s digital world, technology is no longer just a support function — it is the primary driver of business growth. Organizations across industries are actively adopting Artificial Intelligence and emerging technologies to automate operations, improve decision-making, and build new digital products.

Antier enables this transformation.

We harness leading-edge technologies and deliver forward-thinking solutions that help businesses modernize systems, create intelligent workflows, and unlock long-term value.

With a 600+ strong team of engineers, architects, and technology specialists, Antier has established itself as a global engineering partner in Blockchain and Web3. Building on this foundation, Antier is now expanding its Artificial Intelligence vertical, helping organizations implement:

• Generative AI & LLM powered applications
• AI copilots & enterprise assistants
• Business process automation
• Predictive analytics & data intelligence platforms
• AI integrations into SaaS and enterprise products

We are looking for a sales professional who can understand business problems and position AI as a practical solution — not just a technology pitch.

Role Overview

We are seeking a highly motivated and results-oriented Business Development Manager – AI to drive new client acquisition and revenue growth for Antier’s AI solutions.

The role involves identifying opportunities, engaging decision-makers, running discovery conversations, and converting business challenges into AI solution engagements. You will work closely with solution architects and technical teams during pre-sales and proposal stages.

Key Responsibilities

Opportunity Generation

• Research and identify new business opportunities, markets, and industries adopting AI
• Prospect startups, funded companies, SaaS platforms, and enterprises
• Generate leads via outbound channels (LinkedIn, email, events, networking)
• Identify and reach key stakeholders (CTO, Head of Product, Innovation, Operations leaders)

Consultative Selling

• Conduct discovery calls to understand client business challenges
• Translate business requirements into AI solution opportunities
• Present Antier’s AI capabilities and use-cases to clients
• Coordinate with technical teams for solutioning and effort estimation
• Prepare tailored proposals, capability decks, and commercial discussions

Pipeline & Revenue Management

• Build and manage a qualified sales pipeline
• Negotiate commercials and close deals
• Maintain CRM updates and reporting discipline
• Forecast revenue and present progress to leadership
• Consistently achieve monthly and quarterly targets

Client Relationship Management

• Develop long-term client relationships and identify upsell opportunities
• Act as the primary point of contact during pre-sales and onboarding
• Ensure a smooth handover to delivery teams

Market Awareness

• Stay updated with trends in Generative AI, automation, and enterprise adoption
• Monitor competitor offerings and market positioning
• Provide feedback to marketing for campaigns and messaging

Preferred Skill Sets

1. 4–6 years experience in IT Services / Technology Consulting sales
2. Experience selling AI, Data, SaaS, Cloud, Automation, or Product Engineering services
3. Strong understanding of Generative AI use-cases (Chatbots, copilots, automation, analytics)
4. Experience in outbound sales and lead generation
5. Excellent communication and presentation skills
6. Ability to interact with technical and business stakeholders
7. Negotiation and closing ability
8. Self-driven, target-oriented, and proactive mindset
9. Strategic thinking and problem-solving ability
10. Experience in Management Consultancy or Blockchain industry is a plus

What Will Make You Successful in This Role

• Ability to ask the right business questions (not just pitch services)
• Comfort discussing AI use-cases with decision makers
• Ownership of pipeline and closures
• Consistent outbound effort and relationship building

Why Join Antier?

• Work on cutting-edge AI and emerging technologies
• Exposure to global clients and funded startups
• High-ownership role with fast career growth
• Opportunity to build and scale a new business vertical

JOB DETAILS:

* Job Title: Principal Data Scientist

* Industry: Healthcare

* Salary: Best in Industry

* Experience: 6-10 years

* Location: Bengaluru

Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Criteria:

1. Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
2. Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
3. Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
4. Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
5. Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.

Job Description

Principal Data Scientist

(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Job Details

• Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
• Location: Hebbal Ring Road, Bengaluru
• Work Mode: Work from Office
• Shift: Day Shift
• Reporting To: SVP
• Compensation: Best in the industry (for suitable candidates)

Educational Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Experience Required

• 7+ years of experience solving real-world problems using:
• Natural Language Processing (NLP)
• Automatic Speech Recognition (ASR)
• Large Language Models (LLMs)
• Machine Learning (ML)
• Preferably within the healthcare domain
• Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable

Role Overview

This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.

We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:

• Reduce administrative burden in EMR data entry
• Improve provider satisfaction and productivity
• Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

Key Responsibilities

AI Strategy & Solution Development

• Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
• Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
• Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
• Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

Model Development & Optimization

• Fine-tune, train, and optimize large-scale NLP and ASR models
• Develop and optimize ML algorithms for speech, text, and structured healthcare data
• Conduct rigorous testing and validation to ensure high clinical accuracy and performance
• Continuously evaluate and enhance model efficiency and reliability

Cloud & MLOps Implementation

• Architect and deploy AI models on AWS, Azure, or GCP
• Deploy and manage models using containerization, Kubernetes, and serverless architectures
• Design and implement robust MLOps strategies for lifecycle management

Integration & Compliance

• Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
• Integrate AI systems with EHR/EMR platforms
• Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

Collaboration & Leadership

• Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
• Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
• Mentor and lead junior data scientists and engineers
• Contribute to AI research, publications, patents, and long-term AI strategy

Required Skills & Competencies

• Expertise in Machine Learning, Deep Learning, and Generative AI
• Strong Python programming skills
• Hands-on experience with PyTorch and TensorFlow
• Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
• Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
• Experience with text embeddings and vector databases
• Proficiency in cloud platforms (AWS, Azure, GCP)
• Experience with LangChain, OpenAI APIs, and RAG architectures
• Knowledge of agentic AI frameworks and reinforcement learning
• Familiarity with Docker, Kubernetes, and MLOps best practices
• Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
• Strong communication, collaboration, and mentoring skills

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and >99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Engineering Manager- Job Overview

We are looking for an Engineering Manager who can lead a team of engineers while

staying deeply involved in technical decisions. This role requires a strong mix of people

leadership, system design expertise, and execution focus to deliver high-quality product

features at speed. You will work closely with Product and Leadership to translate

requirements into scalable technical solutions and build a high-performance engineering

culture.

Key Responsibilities:

● Lead, mentor, and grow a team of software engineers

● Drive end-to-end ownership of product features from design to deployment

● Work closely with Product to translate requirements into technical solutions

● Define architecture and ensure scalability, reliability, and performance

● Establish engineering best practices, code quality, and review standards

● Improve development velocity, sprint planning, and execution discipline

● Hire strong engineering talent and build a solid team

● Create a culture of accountability, ownership, and problem-solving

● Ensure timely releases without compromising quality

● Stay hands-on with critical technical decisions and reviews

.

Requirements:

● 5+ years of software engineering experience, with 2+ years in team leadership

● Strong experience in building and scaling backend systems and APIs

● Experience working in a product/startup environment

● Good understanding of system design, architecture, and databases

● Ability to manage engineers while remaining technically credible

● Strong problem-solving and decision-making skills

● Experience working closely with Product teams

● High ownership mindset and bias for action

Good to Have

● Experience in healthcare tech / automation / RPA / AI tools

● Experience building internal tools and workflow systems

● Exposure to cloud infrastructure (AWS/GCP/Azure)

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

 JOB DETAILS:

* Job Title: Head of Engineering/Senior Product Manager

* Industry: Digital transformation excellence provider

* Salary: Best in Industry

* Experience: 12-20 years

* Location: Mumbai

Job Description

Role Overview

The VP / Head of Technology will lead company’s technology function across engineering, product development, cloud infrastructure, security, and AI-led initiatives. This role focuses on delivering scalable, high-quality technology solutions across company’s core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services.

This leader will drive execution, ensure technical excellence, modernize platforms, and collaborate closely with business and delivery teams.

Roles and Responsibilities:

Technology Execution & Architecture Leadership

·        Own and execute the technology roadmap aligned with business goals.

·        Build and maintain scalable architecture supporting multiple verticals.

·        Enforce engineering best practices, code quality, performance, and security.

·        Lead platform modernization including microservices, cloud-native architecture, API-first systems, and integration frameworks.

Product & Engineering Delivery

·        Manage multi-product engineering teams across eCommerce platforms, procurement systems, ERP integrations, analytics, and ESG solutions.

·        Own the full SDLC — requirements, design, development, testing, deployment, support.

·        Implement Agile, DevOps, CI/CD for faster releases and improved reliability.

·        Oversee product/platform interoperability across all company systems.

Vertical-Specific Technology Leadership

Procurement Tech:

·        Lead architecture and enhancements of procurement and indirect spend platforms.

·        Ensure interoperability with SAP Ariba, Coupa, Oracle, MS Dynamics, etc.

eCommerce:

·        Drive development of scalable B2B/B2C commerce platforms, headless commerce, marketplace integrations, and personalization capabilities.

Sustainability/ESG:

·        Support development of GHG tracking, reporting systems, and sustainability analytics platforms.

Business Services:

·        Enhance operational platforms with automation, workflow management, dashboards, and AI-driven efficiency tools.

Data, Cloud, Security & Infrastructure

·        Own cloud infrastructure strategy (Azure/AWS/GCP).

·        Ensure adherence to compliance standards (SOC2, ISO 27001, GDPR).

·        Lead cybersecurity policies, monitoring, threat detection, and recovery planning.

·        Drive observability, cost optimization, and system scalability.

AI, Automation & Innovation

·        Integrate AI/ML, analytics, and automation into product platforms and service delivery.

·        Build frameworks for workflow automation, supplier analytics, personalization, and operational efficiency.

·        Lead R&D for emerging tech aligned to business needs.

Leadership & Team Management

·        Lead and mentor engineering managers, architects, developers, QA, and DevOps.

·        Drive a culture of ownership, innovation, continuous learning, and performance accountability.

·        Build capability development frameworks and internal talent pipelines.

Stakeholder Collaboration

·        Partner with Sales, Delivery, Product, and Business Teams to align technology outcomes with customer needs.

·        Ensure transparent reporting on project status, risks, and technology KPIs.

·        Manage vendor relationships, technology partnerships, and external consultants.

Education, Training, Skills, and Experience Requirements:

Experience & Background

·        16+ years in technology execution roles, including 5–7 years in senior leadership.

·        Strong background in multi-product engineering for B2B platforms or enterprise systems.

·        Proven delivery experience across: eCommerce, ERP integrations, procurement platforms, ESG solutions, and automation.

Technical Skills

·        Expertise in cloud platforms (Azure/AWS/GCP), microservices architecture, API frameworks.

·        Strong grasp of procurement tech, ERP integrations, eCommerce platforms, and enterprise-scale systems.

·        Hands-on exposure to AI/ML, automation tools, data engineering, and analytics stacks.

·        Strong understanding of security, compliance, scalability, performance engineering.

Leadership Competencies

·        Execution-focused technology leadership.

·        Strong communication and stakeholder management skills.

·        Ability to lead distributed teams, manage complexity, and drive measurable outcomes.

·        Innovation mindset with practical implementation capability.

Education

·        Bachelor’s or Master’s in Computer Science/Engineering or equivalent.

·        Additional leadership education (MBA or similar) is a plus, not mandatory.

Travel Requirements

·        Occasional travel for client meetings, technology reviews, or global delivery coordination.

Must-Haves

·        10+ years of technology experience, with with at least 6 years leading large (50-100+) multi product engineering teams.

·        Must have worked on B2B Platforms. Experience in Procurement Tech or Supply Chain

·        Min. 10+ Years of Expertise in Cloud-Native Architecture, Expert-level design in Azure, AWS, or GCP using Microservices, Kubernetes (K8s), and Docker.

·        Min. 8+ Years of Expertise in Modern Engineering Practices, Advanced DevOps, CI/CD pipelines, and automated testing frameworks (Selenium, Cypress, etc.).

·        Hands-on leadership experience in Security & Compliance.

·        Min. 3+ Years of Expertise in AI & Data Engineering, Practical implementation of LLMs, Predictive Analytics, or AI-driven automation

·        Strong technology execution leadership, with ownership of end-to-end technology roadmaps aligned to business outcomes.

·        Min. 6+ Years of Expertise in B2B eCommerce Logic Architecture of Headless Commerce, marketplace integrations, and complex B2B catalog management.

·        Strong product management exposure

·        Proven experience in leading end-to-end team operations

·        Relevant experience in product-driven organizations or platforms

·        Strong Subject Matter Expertise (SME)

Education: - Master degree.

**************

Joining time / Notice Period: Immediate - 45days.

Location: - Andheri,

5 days working (3 - 2 days’ work from office)

Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

ME / M.Tech in Computer Science Engineering / Information Technology

Ph.D. (Preferred but not mandatory)

First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

Deliver high-quality lectures for UG / PG programs

Prepare lesson plans, course materials, and academic content

Guide student projects and internships

Participate in curriculum development and academic planning

Conduct internal assessments, evaluations, and result analysis

Mentor students for academic and career growth

Participate in departmental research activities

Publish research papers in reputed journals (Scopus/SCI preferred)

Attend Faculty Development Programs (FDPs), workshops, and conferences

Contribute to NAAC / NBA accreditation processes

Support institutional administrative responsibilities

💡 Required Skills:

Strong subject knowledge in CSE / IT domains

Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)

Excellent communication and presentation skills

Research orientation and academic enthusiasm

Team collaboration and mentoring ability

Role & Responsibilities:

As a Product Designer (Growth), you'll be the design force behind our growth initiatives—obsessing over conversion funnels, user onboarding, engagement mechanics, and monetization touchpoints. You'll combine deep UX expertise with growth hacking mindset, leveraging data and experimentation to design experiences that drive measurable business impact. We're looking for a metrics-driven, hypothesis-oriented designer who thrives on turning insights into scalable growth levers.

What You’ll Do-

• Drive growth-focused design initiatives across acquisition, activation, retention, and revenue optimization
• Design and optimize conversion funnels from first touch to long-term engagement, focusing on key growth metrics (CAC, LTV, retention rates, conversion rates)
• Lead experimentation through design—create A/B tests, landing page variants, onboarding flows, and feature experiments that drive statistically significant improvements
• Own critical growth touchpoints including signup flows, profile completion, subscription conversions, re-engagement campaigns, and referral mechanisms
• Translate growth insights into design solutions—turn user behavior data, cohort analyses, and business requirements into high-impact user experiences
• Design scalable growth systems—create templates, frameworks, and design patterns that enable rapid testing and iteration across growth initiatives
• Collaborate with Growth PMs, Data Analysts, and Engineers to identify growth opportunities, prioritize experiments, and measure design impact on key business metrics
• Optimize post-launch performance through continuous testing, user feedback integration, and data-driven design iterations
• Establish growth design culture by championing experimentation, sharing learnings, and mentoring team members on growth-focused design thinking

Growth-Specific Focus Areas:

• User acquisition and conversion optimization
• Onboarding and activation experience design
• Subscription and monetization flow optimization
• Retention and re-engagement campaign design
• Referral and viral growth mechanism design
• Personalization and recommendation interface design

Ideal Candidate

• Masters/Bachelor's from premier institutions (IIT, BITS, NID)
• 5 -8 years of full-stack product design experience with proven growth impact
• Strong portfolio demonstrating conversion optimization and growth-focused design solutions
• Experience with growth experimentation, A/B testing, and data-informed design decisions
• Proficiency in Figma, prototyping tools, analytics platforms, and growth measurement tools
• Understanding of subscription business models, pricing psychology, and monetization strategies
• Experience designing for both web and mobile platforms at scale
• Strong analytical mindset with ability to translate business metrics into design solutions
• Knowledge of user acquisition channels and performance marketing touchpoints

Bonus Traits:

• Experience in subscription-based or marketplace products
• Background in conversion rate optimization (CRO)
• Understanding of international market expansion and localization
• Experience with AI-powered personalization and recommendation systems

Role Overview:

As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.

Key Responsibilities:

• Design and develop backend solutions using Python, with a focus on AI-driven features.
• Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
• Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
• Translate business needs into AI use cases and deliver working solutions.
• Collaborate with product, engineering, and data teams to define integration workflows.
• Develop REST APIs and micro services to deploy AI components within applications.
• Maintain and optimize AI systems for scalability, performance, and reliability.
• Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.

Required Skills & Qualifications:

• 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
• Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
• Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
• Solid understanding of REST APIs, micro services, and integration practices
• Ability to work independently in a remote setup with strong communication and ownership
• Excellent problem-solving and debugging capabilities
• Experience with the MERN stack will be an added advantage.

Job Description for Digital Marketing Specialist

Job Title: Digital Marketing Specialist

Company: Mydbops

Location: Pondicherry

About Mydbops

Mydbops is a leading database consulting and managed services company specialising in open-source database technologies. With a team of 120+ certified professionals, we support over 800+ clients globally across 3,000+ database instances. We're also an AWS Advanced Consulting Partner, delivering high-impact, cost-efficient database solutions at scale.

Role Summary:

We're looking for a data-driven Digital Marketing Executive who can execute B2B campaigns, create compelling content, and most importantly—track, analyze, and optimize marketing performance with strong analytical rigor. This role requires someone who can bridge technical database services marketing with measurable ROI-focused campaign execution.

Key Responsibilities

• Campaign Management & Execution
• Plan, execute, and optimize Google Ads, LinkedIn Ads, and Meta campaigns for B2B database services
• Manage end-to-end campaign workflows including audience targeting, ad creative, budget allocation, and performance tracking
• Develop and execute lead generation strategies targeting CTOs, IT Managers, and DevOps teams

Analytics & Data-Driven Decision Making (Critical Requirement)

• Set up and maintain Google Analytics 4, Google Tag Manager, and conversion tracking systems
• Build comprehensive campaign performance dashboards with actionable insights
• Analyze campaign data to identify trends, optimize spend, and improve conversion rates
• Provide weekly/monthly performance reports with clear recommendations
• Track full-funnel metrics: impressions, CTR, CPC, conversions, lead quality, and ROI
• Conduct A/B testing and implement data-backed improvements

Content & Creative Development

• Create social media graphics, ad creatives, and marketing collateral using Canva or similar tools
• Collaborate with technical teams to translate complex database concepts into compelling marketing messages
• Design infographics and explainer visuals for technical blog posts and LinkedIn content

Technical Collaboration

• Work closely with DBAs and technical staff to understand product offerings and client pain points
• Develop technically accurate marketing content for database optimization, migration, and managed services
• Stay updated on database industry trends and competitive landscape

AI & Automation

• Leverage AI tools and LLMs for content generation, campaign optimization, and workflow automation
• Explore and implement marketing automation tools to improve efficiency

Must-Have Skills

Analytics & Tools (Non-negotiable)

• Strong proficiency in Google Analytics (GA4), Google Tag Manager, and Google Search Console
• Experience setting up conversion tracking, UTM parameters, and attribution models
• Ability to analyze data and extract actionable insights
• Excel/Google Sheets proficiency for data analysis and reporting

Campaign Management

• 3+ years managing Google Ads and LinkedIn Ads campaigns with proven ROI
• Experience with B2B lead generation and marketing funnel optimization

Design & Content

• Proficiency in Canva, Figma, or Adobe Creative Suite
• Strong copywriting skills for technical B2B audiences
• Experience creating social media content and ad creatives

Technical Aptitude

• Ability to quickly learn and understand technical products (databases, cloud services, SaaS)
• Familiarity with WordPress/Webflow, hosting platforms, and web technologies
• Comfortable working with technical teams and translating technical concepts
• 
  

Nice-to-Have Skills

• Experience marketing SaaS, cloud, or database products
• Knowledge of marketing automation platforms (HubSpot, Marketo, Salesforce)
• Certification in Google Analytics, Google Ads, or digital marketing
• Experience with AI-powered marketing tools and LLM applications
• Understanding of SQL or database concepts
• 
  

Job Details:

• Job Type: Full-time opportunity 
• Work time: General Shift
• Mode of Employment - Work From Office (Pondicherry)
• Experience - 2-4  years

About MyOperator 

MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. 

Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. 

Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount. 

Role Overview 

The AVP – Engineering & Technology will own the entire technology ecosystem of the company end-to-end. This role is responsible for product architecture, engineering execution, AI strategy, platform scalability, security, and technical excellence across all products and services. 

This is a hands-on leadership role with complete accountability—from product vision to production reliability. You will act as the technical custodian of the company, working closely with the CEO, Product, Business, and Customers. 

This role is ideal for entrepreneurial leaders, ex-founders, or senior technologists who have built and scaled products and teams. 

Key Responsibilities 

Technology & Product Ownership 

● Own end-to-end product engineering for all SaaS platforms and AI solutions

● Define and drive technical vision, architecture, and long-term scalability ● Ensure high availability, performance, security, and reliability of platforms

● Translate business vision into robust, scalable technical systems

AI & Innovation Leadership 

● Lead the AI roadmap including LLM-based agents, automation, and intelligence layers

● Drive build vs buy decisions for AI, infra, and tools 

● Ensure responsible, secure, and cost-effective AI adoption 

● Continuously evaluate emerging technologies for competitive advantage Engineering Execution & Delivery 

● Build, mentor, and scale high-performing engineering teams 

● Set engineering standards for code quality, DevOps, testing, and deployment

● Own delivery timelines, tech debt management, and release governance

● Establish strong engineering culture, accountability, and ownership 

Stakeholder & Business Alignment 

● Partner closely with CEO, Product, Sales, and Customer Success

● Support enterprise deals with technical confidence and credibility

● Act as the final escalation point for all technical risks and decisions ● Present technology strategy and progress to leadership and board 

What We’re Looking For 

Experience & Background 

● 10+ years of experience in software engineering and architecture

● Proven experience leading large-scale SaaS platforms 

● Strong exposure to AI/ML, LLMs, APIs, cloud-native architectures ● Experience owning products from 0 → 1 or 1 → scale 

● Prior experience as Founder, Co-founder, CTO, VP Engineering is a strong plus

Leadership & Mindset 

● Entrepreneurial mindset with ownership mentality 

● Ability to think business-first, not just tech-first 

● Comfortable operating in ambiguity and fast-paced environments ● Strong decision-maker with bias toward action 

● Deep sense of accountability and execution excellence

Why Join Us 

● Direct reporting to the CEO with real decision-making power

● Opportunity to shape the technical DNA of a growing AI company

● Build AI agents and SaaS products at scale 

● Potential for long-term leadership growth and wealth creation

● High-impact role with visibility across the organization

Intern (GenAI - Python) - 3 Months Unpaid Internship

Job Title: GenAI Intern (Python) - 3 Months Internship (Unpaid)

Location: Ahmedabad (On-Site)

Duration: 3 Months

Stipend: Unpaid Internship

Company: Softcolon Technologies

About the Internship:

Softcolon Technologies is seeking a dedicated GenAI Intern who is eager to delve into real-world AI applications. This internship provides hands-on experience in Generative AI development, focusing on RAG systems and AI Agents. It is an ideal opportunity for individuals looking to enhance their skills in Python-based AI development through practical project involvement.

Eligibility:

• Freshers or currently pursuing BE (IT/CE) or related field
• Strong interest in Generative AI and real-world AI product development

Required Skills (Must Have):

• Basic knowledge of Python
• Basic understanding of Python frameworks like FastAPI and basic Django
• Familiarity with APIs and JSON
• Submission of resume, GitHub Profile/Project Portfolio, and any AI/Python project links

What You Will Learn (Internship Goals):

You will gain hands-on experience in:

• Fundamentals of Generative AI (GenAI)
• Building RAG (Retrieval-Augmented Generation) applications
• Working with Vector Databases and embeddings
• Creating AI Agents using Python
• Integrating LLMs such as OpenAI (GPT models), Claude, Gemini
• Prompt Engineering + AI workflow automation
• Building production-ready APIs using FastAPI

Responsibilities:

• Assist in developing GenAI-based applications using Python
• Support RAG pipeline implementation (embedding + search + response)
• Work on API integrations with OpenAI/Claude/Gemini
• Assist in building backend services using FastAPI
• Maintain project documentation and GitHub updates
• Collaborate with team members for tasks and daily progress updates

Selection Process:

• Resume + GitHub portfolio screening
• Short technical discussion (Python + basics of APIs)
• Final selection by the team

Why Join Us?

• Practical experience in GenAI through real projects
• Mentorship from experienced developers
• Opportunity to work on portfolio-level projects
• Certificate + recommendation (based on performance)
• Potential for a paid role post-internship (based on performance)

How to Apply:

Share your resume and GitHub portfolio link via:

ROLE: Ai ML Senior Developer

Exp: 5 to 8 Years

Location: Bangalore (Onsite)

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview:

We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities:

1. Model Analysis & Optimization

Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

2. AI Product Design & Development

Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

3. Prompt Engineering & Response Quality

Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

4. AI Service Integration

Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

5. AI-Assisted Development Productivity

Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

6. Cross-Functional Collaboration

Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

7. Model Monitoring & Continuous Improvement

Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications:

1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

3. Proven experience building, training, and deploying chatbots or conversational AI systems.

4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

5. Solid programming experience in Python, with strong problem-solving and development fundamentals.

6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.

9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.

ROLE - TECH LEAD/ARCHITECT with AI Expertise

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and

development of AI-powered B2B SaaS products. This role requires a strong hands-on

technologist who can work closely with ML Engineers and Full Stack Development teams,

own the product architecture, and ensure scalability, security, and compliance across the

platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to

integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend,

data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS

platforms

• Drive cloud-native deployments (Azure) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)

across the product

• Take ownership of application security, access controls, and compliance

requirements

• Actively contribute hands-on through coding, code reviews, complex feature development and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and

system design

• Work closely with Product Management and Leadership to translate business

requirements into technical solutions

Qualifications:

• 10–15 years of overall experience in software engineering and product

development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (Azure, AWS/GCP)

• Solid background in backend technologies (Python/ .NET / Node.js / Java) and

modern frontend frameworks like (React, JS, etc.)

• Experience working with AI/ML teams in deploying and tuning ML models into production

environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native

architectures

• Strong working knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-

functionally

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven Technical Lead with a passion for developing innovative products that drives business growth, we invite you to join our dynamic team at ProductNova.

Job Title : QA Lead (AI/ML Products)

Employment Type : Full Time

Experience : 4 to 8 Years

Location : On-site

Mandatory Skills : Strong hands-on experience in testing AI/ML (LLM, RAG) applications with deep expertise in API testing, SQL/NoSQL database validation, and advanced backend functional testing.

Role Overview :

We are looking for an experienced QA Lead who can own end-to-end quality for AI-influenced products and backend-heavy systems. This role requires strong expertise in advanced functional testing, API validation, database verification, and AI model behavior testing in non-deterministic environments.

Key Responsibilities :

• Define and implement comprehensive test strategies aligned with business and regulatory goals.
• Validate AI/ML and LLM-driven applications, including RAG pipelines, hallucination checks, prompt injection scenarios, and model response validation.
• Perform deep API testing using Postman/cURL and validate JSON/XML payloads.
• Execute complex SQL queries (MySQL/PostgreSQL) and work with MongoDB for backend and data integrity validation.
• Analyze server logs and transactional flows to debug issues and ensure system reliability.
• Conduct risk analysis and report key QA metrics such as defect leakage and release readiness.
• Establish and refine QA processes, templates, standards, and agile testing practices.
• Identify performance bottlenecks and basic security vulnerabilities (e.g., IDOR, data exposure).
• Collaborate closely with developers, product managers, and domain experts to translate business requirements into testable scenarios.
• Own feature quality independently from conception to release.

Required Skills & Experience :

• 4+ years of hands-on experience in software testing and QA.
• Strong understanding of testing AI/ML products, LLM validation, and non-deterministic behavior testing.
• Expertise in API Testing, server log analysis, and backend validation.
• Proficiency in SQL (MySQL/PostgreSQL) and MongoDB.
• Deep knowledge of SDLC and Bug Life Cycle.
• Strong problem-solving ability and structured approach to ambiguous scenarios.
• Awareness of performance testing and basic security testing practices.
• Excellent communication skills to articulate defects and QA strategies.

What We’re Looking For :

A proactive QA professional who can go beyond UI testing, understands backend systems deeply, and can confidently test modern AI-driven applications while driving quality standards across the team.

Job Description: Python Developer

Experience: 2+ Years

Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad

Timings: 10 AM to 7 PM

Job Description:

Technical Skills :

• Good knowledge of Python with 2+ years of minimum experience 
• Strong understanding of various Python Libraries, APIs, and toolkits. 
• Good experience in Django, Django REST Framework, and Flask framework.
• Understanding of AWS Serverless implementation using Lambda and API Gateway
• Hands-on Experience in Databases like Mysql, PostgreSQL.
• Good experience/understanding in Agentic AI / RAG.
• Proficient in NoSQL document databases especially MongoDB, Redis.
• Stronghold in Data Structures and Algorithm
• Thorough understanding of version control system concepts especially GIT.
• Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
• Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
• Excellent debugging and optimization skills

Job Responsibilities :

• Building big, robust, scalable, and maintainable applications.
• Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Handling complex technical issues related to web app development & discussing solutions with the team.
• Developing, Deploying, and maintaining Multistage, Multi-tier applications.
• To write high-performing code and will be participating in key architectural decisions.
• Project Execution & Client Interaction
• Scrum Implementation

Hi,

PFB the Job Description for Data Science with ML

Title                                  : Data Scientist - Machine Learning

Experience                   : 5+ Yrs

Location                         : Chennai /Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

.

We are looking for an AI/ML Engineer to build AI-powered applications for prediction, analytics, and intelligent reporting.

You will work with structured databases and unstructured data (PDFs, documents, logs).

Design and implement data ingestion, preprocessing, and feature pipelines.

Build ML models for prediction, trend analysis, and pattern detection.

Enable chat-based insights using LLMs for querying data and generating reports.

Implement role-based access control (RBAC) and secure AI workflows.

Integrate AI models into web/mobile applications via APIs.

Optimize model performance, accuracy, and scalability.

Work with vector databases, embeddings, and semantic search.

Collaborate with product and engineering teams on AI architecture.

Ensure data security, privacy, and compliance best practices.

Stay updated with latest AI/ML tools and frameworks

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Software Engineer to join our engineering team in our Bangalore office. We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.

We pay well above market for the country's best talent and provide a number of excellent perks.

Responsibilities

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

You'll wear many hats. Your responsibilities will fall into 2 categories:

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.
• Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications with industry leading product and user experience (Typescript, nodeJS, python etc).

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)

About PGAGI

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Position Overview:

We are excited to announce openings for AI/ML Interns who are enthusiastic about artificial intelligence, machine learning, and data-driven technologies. This internship is designed for individuals who want to apply their knowledge of algorithms, data analysis, and model development to solve real-world problems. Interns will work closely with our AI engineering teams to develop, train, and deploy machine learning models, contributing to innovative solutions across various domains. This is an excellent opportunity to gain hands-on experience with cutting-edge tools and frameworks in a collaborative, research-oriented environment.

Key Responsibilities:

- Experience working with python, LLM, Deep Learning, NLP, etc..

- Utilize GitHub for version control, including pushing and pulling code updates.

- Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.

- Engage in prompt engineering and the fine-tuning process of AI models.

Compensation

• Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
• Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
• Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.

Requirements:

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

Only students currently in their final year of a Bachelor's degree in Computer Science, Engineering,

or related fields /graduates are eligible to apply.

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

Shortlisted candidates will be contacted for an interview.

Selection Process

• Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.
• Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.
• Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.
• Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.
• Onboarding: Successful candidates will join our team, with exciting projects ahead

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #TTS #Voice #Speech

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

• Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.
• Assess client requirements and prepare solution strategies using AI tools and methodologies.
• Work with internal teams to design, propose, and help execute AI-powered solutions.
• Provide AI-based recommendations that align with the client’s business objectives.
• Communicate technical possibilities in a business-friendly manner to decision-makers.
• Take ownership of the client journey from discovery to implementation and support.
• Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:

• Minimum 2+ Years of hands on experience into Custom AI Development.
• Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.
• Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologies).
•  Some hands-on experience in AI projects – either through execution, coordination, or implementation.
• Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.
•  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.
• Flexible to work with international clients, especially in the US time zone as needed.

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, ecommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Job Summary

We are looking for a dedicated AI/ML Quality Assurance Engineer who will be responsible for ensuring the quality and reliability of AI/ML solutions, models, and intelligent systems. You will develop and execute test plans, validate model performance, collaborate with AI developers, and automate testing where applicable.

Key Responsibilities:

• Design, develop, and execute comprehensive test plans and test cases for AI/ML models and AI-enabled applications (functional, non-functional, regression, performance)
• Validate AI model accuracy, stability, robustness, fairness, and reliability under diverse scenarios
• Collaborate closely with AI engineers / data scientists to understand model behaviour and requirements
• Automate validation workflows using scripting languages/tools
• Track, investigate, and report issues/defects; work with developers for root-cause analysis
• Ensure end-to-end testing of data pipelines feeding AI system
• Contribute to continuous improvement of the AI QA framework and standards
• Create test documentation, results reports, and QA metrics dashboards
• Participate in planning and QA strategy discussions

Required Skills & Qualifications:

Technical Skills:

•  Bachelor’s degree in Computer Science, IT, Engineering, or related field.
• 3+ years overall QA experience (manual + automation; preferably including AI systems)
• At least 1 year of hands-on experience with AI/ML system testing or AI solutions
• Familiarity with automation tools (Selenium, PyTest, JUnit, or similar)
•  Knowledge of version control (Git), CI/CD principles, test management tools
•  Understanding of data validation, model evaluation metrics, bias/fairness checks

Soft Skills:

• Strong analytical and problem-solving ability
•  Excellent communication and collaboration skills
• Detail-oriented, proactive in eliminating defects early
• Ability to work in cross-functional teams

Nice-to-Have:

• Experience in automated model testing frameworks
•  Knowledge of NLP, computer vision, or deep learning testing
• Experience with cloud platforms (AWS / GCP / Azure)
• Certifications in AI/ML or QA (ISTQB, AI certification etc.)

Key Responsibilities:

• Design, build, and own large-scale, distributed backend and platform systems.
• Drive architectural decisions for high-throughput, low-latency services with strong scalability and reliability guarantees.
• Build and evolve core components of a real-time Customer Data Platform, especially around data ingestion, streaming, and processing.
• Evaluate and adopt open-source and emerging platform technologies; build prototypes where needed.
• Own critical subsystems end-to-end, ensuring performance, maintainability, and operational excellence.
• Mentor junior engineers and uphold high standards through code and design reviews.
• Effectively use modern AI-assisted coding tools to accelerate development while maintaining engineering rigor.
• 4–6 years of strong backend/platform engineering experience with solid fundamentals in algorithms, data structures, and optimizations.
• Proven experience designing and operating production-grade distributed systems.
• B.E / B.Tech / M.Tech / M.S / MCA in Computer Science or equivalent from premier institutes.

Qualifications:

Technical Skills:

• Strong system and object-oriented design skills.
• Hands-on experience with SQL and NoSQL databases.
• Strong working knowledge of Kafka and streaming systems.
• Proficiency in Java, concurrency, and unit/integration testing.
• Familiarity with cloud-native environments (Kubernetes, CI/CD, observability).

AI-Assisted Engineering:

• Hands-on experience using modern AI coding platforms such as Opencode, Claude Code, Codex, Cursor, Windsurf, or similar.
• Ability to use AI tools for code generation, refactoring, testing, debugging, and design exploration responsibly.

Soft Skills & Nice to Have:

• Strong ownership mindset and ability to deliver in fast-paced environments.
• Clear written and verbal communication skills.
• Startup experience is a plus.

This role is at Glance

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

Cross-functional impact

• Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance’s consumer experiences.
• Contribute to Glance’s ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.

The experience we need

We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.

You should have experience with:

• Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
• Classical ML and deep learning techniques across NLP, sequence modeling, RL, clustering, and time series.
• Experience in deploying ML workflows/models in production system
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 4+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
• Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
• Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Comfortable working in cross-functional teams.
• Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
• Excellent communication skills with the ability to simplify complex technical concepts.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

Deliver engaging classroom and/or online training sessions on topics including:

Python for Data Science Data Analytics using Excel and SQL

Statistics and Probability

Machine Learning and Deep Learning

Data Visualization using Power BI / Tableau

Create and update course materials, projects, assignments, and quizzes.

Provide hands-on training and real-world project guidance.

Evaluate student performance, provide constructive feedback, and track progress.

Stay updated with the latest trends, tools, and technologies in Data Science.

Mentor students during capstone projects and industry case studies.

Coordinate with the academic and operations team for batch planning and feedback.

Assist with the development of new courses and curriculum as needed.

About Us

Incubyte is an AI-first software development agency, built on the foundations of software craft, where the “how” of building software matters as much as the “what”. We partner with companies of all sizes, from helping enterprises build, scale, and modernize; to pre-product founders bring their ideas to life. 

Incubees are power users of AI across the SDLC for speed and efficiency. Guided by Software Craftsmanship values and eXtreme Programming practices, we bring velocity together with the discipline of quality engineering to deliver high-impact, reliable solutions – fast. 

Guiding Principles 

• Living and breathing our guiding principles on a daily basis is key to success at Incubyte: 
• Relentless Pursuit of Quality with Pragmatism 
• Striving for exceptional quality without losing sight of practical delivery needs. 
• Extreme Ownership Taking full responsibility for decisions, work, and outcomes. 
• Proactive Collaboration Actively seeking opportunities to collaborate and leverage the team’s collective strengths. 
• Active Pursuit of Mastery Continuously learning, improving, and mastering the craft, never settling for ‘good enough’. 
• Invite, Give, and Act on Feedback 
• Creating a culture of timely, respectful, actionable feedback for mutual growth. 
• Ensuring Client Success Acting as trusted consultants and focusing on delivering true value and outcomes for clients. 

Job Description

This is a remote position.

Role Overview 

As a Software Craftsperson III, your impact is felt at an initiative/pod-level, solving problems with high autonomy, technical depth, and ability to influence team practices. You promote a learning culture within your team; encourage curiosity and simplification.  

At this level, you are expected to apply feedback effectively, mentor others, and contribute meaningfully to team and pod-level impact. You provide timely, trend-based feedback that improves team outcomes; and creates impact by leading up and down. 

At Incubyte, AI is not an add-on but a co-creator in our craft. From refining requirements to reviewing and refactoring code, you’ll pair with AI to explore solutions faster, catch issues earlier, and raise the quality bar continuously. AI accelerates how we learn, experiment, and deliver — enabling you to focus on solving the right problems with impact while being tech and domain agnostic – true consultants at heart. 

Responsibilities 

• Take responsibility for the full lifecycle of an initiative, independently managing production readiness gaps and escalations. 
• Design and deliver features of end-to-end, balanced scope, quality, and maintainability. 
• Identify technical or product issues beyond the immediate scope of work. 
• Identify process waste using DevEx and DORA principles and drive improvements. 
• Support estimation, vertical slicing, and MVP discussions. 
• Drive initiative-level improvements in flow and quality. 
• Communicate effectively at the appropriate level of abstraction with both team and client. 
• Provide timely, trend-based feedback. 
• Lead through ambiguity by clarifying priorities, aligning stakeholders, and keeping the team focused on outcomes. 
• Promote a learning culture within the team. 
• Mentor engineers to raise team performance. 
• Shape team practices related to code quality, tooling, and process. 
• Use AI to accelerate design, testing, and delivery. 

Requirements

What We’re Looking For 

• 4+ years of overall software engineering experience, with 2+ years of hands-on experience applying ML/AI in production, including LLM-based applications and document processing systems
• Strong proficiency in Python or TypeScript (one must be strong), with openness to picking up the other, and solid expertise in object-oriented programming, data structures, algorithms, and software engineering practices
• Hands-on experience building production applications using foundational LLMs (GPT, Claude, Gemini, or similar) for document classification, entity extraction, and structured data extraction
• Strong experience in prompt engineering, refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs from business documents (PDF, Word, Excel)
• Experience with LLM orchestration and agentic frameworks (LangChain, LlamaIndex, Mastra, Agno), vector databases (Pinecone, PgVector, Qdrant), and LLM observability tools (LangSmith, DeepEval)
• Experience designing and operating scalable document processing pipelines leveraging LLM APIs, including classification, metadata generation, entity extraction, and routing
• Strong system design and LLMOps experience, including CI/CD, TDD, prompt versioning, testing, monitoring, cost optimization, and reliable production deployments
• Experience working in Agile and eXtreme Programming environments with continuous deployment practices
• Working knowledge of web server ecosystems, relational databases, server configuration and deployment infrastructure, and performance optimization
• Experience using source control and bug tracking systems, writing user stories, and maintaining clear technical documentation

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Benefits 

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance 

Job Title: Technology Intern

Location: Remote (India)

Shift Timings:

• 5:00 PM – 2:00 AM
• 6:00 PM – 3:00 AM

Compensation: Stipend

Job Summary

ARDEM is looking for enthusiastic Technology Interns from Tier 1 colleges who are eager to build hands-on experience across web technologies, cloud platforms, and emerging technologies such as AI/ML. This role is ideal for final-year students (2026 pass-outs) or fresh graduates seeking real-world exposure in a fast-growing, technology-driven organization.

Eligibility & Qualifications

• Education:
• B.Tech (Computer Science) / M.Tech (Computer Science)
• Tier 1 colleges preferred
• Final semester students pursuing graduation (2026 pass-outs) or recently hired interns
• Experience Level: Fresher
• Communication: Excellent English communication skills (verbal & written)
• 
  

Skills Required

Technical & Development Skills

• Basic understanding of AI / Machine Learning concepts
• Exposure to AWS (deployment or cloud fundamentals)
• PHP development
• WordPress development and customization
• JavaScript (ES5 / ES6+)
• jQuery
• AJAX calls and asynchronous handling
• Event handling
• HTML5 & CSS3
• Client-side form validation

Work Environment & Tools

• Comfortable working in a remote setup
• Familiarity with collaboration and remote access tools

Additional Requirements (Work-from-Home Setup)

This opportunity promotes a healthy work-life balance with remote work flexibility. Candidates must have the following minimum infrastructure:

• System: Laptop or Desktop (Windows-based)
• Operating System: Windows
• Screen Size: Minimum 14 inches
• Screen Resolution: Full HD (1920 × 1080)
• Processor: Intel i5 or higher
• RAM: Minimum 8 GB (Mandatory)
• Software: AnyDesk
• Internet Speed: 100 Mbps or higher

About ARDEM

ARDEM is a leading Business Process Outsourcing (BPO) and Business Process Automation (BPA) service provider. With over 20 years of experience, ARDEM has consistently delivered high-quality outsourcing and automation services to clients across the USA and Canada. We are growing rapidly and continuously innovating to improve our services. Our goal is to strive for excellence and become the best Business Process Outsourcing and Business Process Automation company for our customers.

About Unilog

Unilog is the only connected product content and eCommerce provider serving the Wholesale Distribution, Manufacturing, and Specialty Retail industries. Our flagship CX1 Platform is at the center of some of the most successful digital transformations in North America. CX1 Platform’s syndicated product content, integrated eCommerce storefront, and automated PIM tool simplify our customers' path to success in the digital marketplace.

With more than 500 customers, Unilog is uniquely positioned as the leader in eCommerce and product content for Wholesale distribution, manufacturing, and specialty retail. 

Unilog’ s Mission Statement

At Unilog, our mission is to provide purpose-built connected product content and eCommerce solutions that empower our customers to succeed in the face of intense competition. By virtue of living our mission, we are able to transform the way Wholesale Distributors, Manufacturers, and Specialty Retailers go to market. We help our customers extend a digital version of their business and accelerate their growth.

Designation:- AI Architect

Location: Bangalore/Mysore/Remote  

Job Type: Full-time  

Department: Software R&D  

About the Role  

We are looking for a highly motivated AI Architect to join our CTO Office and drive the exploration, prototyping, and adoption of next-generation technologies. This role offers a unique opportunity to work at the forefront of AI/ML, Generative AI (Gen AI), Large Language Models (LLMs), Vector Databases, AI Search, Agentic AI, Automation, and more.  

As an Architect, you will be responsible for identifying emerging technologies, building proof-of-concepts (PoCs), and collaborating with cross-functional teams to define the future of AI-driven solutions. Your work will directly influence the company’s technology strategy and help shape disruptive innovations.

Key Responsibilities  

Research & Experimentation: Stay ahead of industry trends, evaluate emerging AI/ML technologies, and prototype novel solutions in areas like Gen AI, Vector Search, AI Agents, and Automation. 

Proof-of-Concept Development: Rapidly build, test, and iterate PoCs to validate new technologies for potential business impact.

AI/ML Engineering: Design and develop AI/ML models, LLMs, embedding’s, and intelligent search capabilities leveraging state-of-the-art techniques. 

Vector & AI Search: Explore vector databases and optimize retrieval-augmented generation (RAG) workflows.  

Automation & AI Agents: Develop autonomous AI agents and automation frameworks to enhance business processes.  

Collaboration & Thought Leadership: Work closely with software developers and product teams to integrate innovations into production-ready solutions.

Innovation Strategy: Contribute to the technology roadmap, patents, and research papers to establish leadership in emerging domains.  

Required Qualifications  

1. 8-14 years of experience in AI/ML, software engineering, or a related field.  
2. Strong hands-on expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini.
3. Experience with LLMs, embeddings, AI search, vector databases (e.g., Pinecone, FAISS, Weaviate, PGVector), and agentic AI.  
4. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML infrastructure.  
5. Strong problem-solving skills and a passion for innovation.  
6. Ability to communicate complex ideas effectively and work in a fast-paced, experimental environment.  

Preferred Qualifications  

• Experience with multi-modal AI (text, vision, audio), reinforcement learning, or AI security.  
• Knowledge of data pipelines, MLOps, and AI governance.  
• Contributions to open-source AI/ML projects or published research papers.  

Why Join Us?  

• Work on cutting-edge AI/ML innovations with the CTO Office.  
• Influence the company’s future AI strategy and shape emerging technologies.  
• Competitive compensation, growth opportunities, and a culture of continuous learning.    

About our Benefits:

Unilog offers a competitive total rewards package including competitive salary, multiple medical, dental, and vision plans to meet all our employees’ needs, 401K match, career development, advancement opportunities, annual merit, pay-for-performance bonus eligibility, a generous time-off policy, and a flexible work environment.

Unilog is committed to building the best team and we are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, creed, ancestry, sex, national origin, age, disability, familial status, marital status, military status, veteran status, sexual orientation, gender identity, or expression, or any other protected class. 

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Technical Trainer at the Pollachi location.

Trainer - Pollachi.

Willing to travel around a 30km radius from Pollachi.

Job Description: Technical Trainer

Expertise: HTML, CSS, JavaScript, Python, Artificial Intelligence (AI), and Machine Learning (ML), IoT, and Robotics (Optional).

Work Location: Flexible (Work from Home & Office available)

Target Audience: School students and teachers

Employment Type: Full-time, IoT and Robotics (Optional). 

Key Responsibilities:

* Develop and deliver content in an easy-to-understand format suitable for varying audience levels. 

* Prepare training materials, exercises, and assessments to evaluate participant progress and measure their learning outcomes. Adapt teaching methods to suit both in-person (office) and virtual (work-from-home) formats.

* Stay updated with the latest trends and tools in technology to ensure high-quality training delivery.

Job Details

- Job Title: Software Developer (Python, React/Vue)

- Industry: Technology

- Experience Required: 2-4 years

- Working Days: 5 days/week

- Job Location: Remote working

- CTC Range: Best in Industry

Review Criteria

• Strong Full stack/Backend engineer profile
• 2+ years of hands-on experience as a full stack developer (backend-heavy)
• (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
• (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
• (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
• (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
• (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
• (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
• Product companies (B2B SaaS preferred)

Preferred

• Preferred (Location) - Mumbai
• Preferred (Skills): Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
• Preferred (Education): B.Tech from Tier 1, Tier 2 institutes

Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

You will:

• Build and own features end-to-end — from design → deployment → scale.
• Architect scalable, loosely coupled systems powering AI-native workflows.
• Create robust integrations with 3rd-party systems.
• Push boundaries on reliability, performance, and automation.
• Write clean, tested, secure code → and continuously improve it.
• Collaborate directly with Founders & Snr engineers in a high-trust environment.

Our Tech Arsenal:

• We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
• That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

About the Company

SimplyFI Softech India Pvt. Ltd. is a product-led company working across AI, Blockchain, and Cloud. The team builds intelligent platforms for fintech, SaaS, and enterprise use cases, focused on solving real business problems with production-grade systems.

Role Overview

This role is for someone who enjoys working hands-on with data and machine learning models. You’ll support real-world AI use cases end to end, from data prep to model integration, while learning how AI systems are built and deployed in production.

Key Responsibilities

• Design, develop, and deploy machine learning models with guidance from senior engineers
• Work with structured and unstructured datasets for cleaning, preprocessing, and feature engineering
• Implement ML algorithms using Python and standard ML libraries
• Train, test, and evaluate models and track performance metrics
• Assist in integrating AI/ML models into applications and APIs
• Perform basic data analysis and visualization to extract insights
• Participate in code reviews, documentation, and team discussions
• Stay updated on ML, AI, and Generative AI trends

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, or a related field
• Strong foundation in Python
• Clear understanding of core ML concepts: supervised and unsupervised learning
• Hands-on exposure to NumPy, Pandas, and Scikit-learn
• Basic familiarity with TensorFlow or PyTorch
• Understanding of data structures, algorithms, and statistics
• Good analytical thinking and problem-solving skills
• Comfortable working in a fast-moving product environment

Good to Have

• Exposure to NLP, Computer Vision, or Generative AI
• Experience with Jupyter Notebook or Google Colab
• Basic knowledge of SQL or NoSQL databases
• Understanding of REST APIs and model deployment concepts
• Familiarity with Git/GitHub
• AI/ML internships or academic projects

Role Overview:

We are looking for a PHP & Angular Developer to build and maintain scalable full-stack web applications. The role requires strong backend expertise in PHP, solid frontend development using Angular, and exposure or interest in AI/ML-powered features.

Key Responsibilities:

• Develop and maintain applications using PHP and Angular
• Build and consume RESTful APIs
• Create reusable Angular components using TypeScript
• Work with MySQL/PostgreSQL databases
• Collaborate with Product, QA, and AI/ML teams
• Integrate AI/ML APIs where applicable
• Ensure performance, security, and scalability
• Debug and resolve production issues

Required Skills:

• 5–7 years experience in PHP development
• Strong hands-on with Laravel / CodeIgniter
• Experience with Angular (v10+)
• HTML, CSS, JavaScript, TypeScript
• REST APIs, JSON
• MySQL / PostgreSQL
• Git, MVC architecture

Good to Have:

• Exposure to AI/ML concepts or API integrations
• Python-based ML services (basic)
• Cloud platforms (AWS / Azure / GCP)
• Docker, CI/CD
• Agile/Scrum experience
• Product/start-up background

Role Overview:

We are looking for a PHP & Angular Developer to build and maintain scalable full-stack web applications. The role requires strong backend expertise in PHP, solid frontend development using Angular, and exposure or interest in AI/ML-powered features.

Key Responsibilities:

• Develop and maintain applications using PHP and Angular
• Build and consume RESTful APIs
• Create reusable Angular components using TypeScript
• Work with MySQL/PostgreSQL databases
• Collaborate with Product, QA, and AI/ML teams
• Integrate AI/ML APIs where applicable
• Ensure performance, security, and scalability
• Debug and resolve production issues

Required Skills:

• 5–7 years experience in PHP development
• Strong hands-on with Laravel / CodeIgniter
• Experience with Angular (v10+)
• HTML, CSS, JavaScript, TypeScript
• REST APIs, JSON
• MySQL / PostgreSQL
• Git, MVC architecture

Good to Have:

• Exposure to AI/ML concepts or API integrations
• Python-based ML services (basic)
• Cloud platforms (AWS / Azure / GCP)
• Docker, CI/CD
• Agile/Scrum experience
• Product/start-up background

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.
• 
  

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

About Role

We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.

This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features

Key Responsibilities

• Design, develop, and maintain scalable backend services using Python
• Build APIs and services using FastAPI, Flask, or Django
• Ensure performance, reliability, and scalability of backend systems
• Integrate AI/ML models into production systems (model inference, automation)
• Build and maintain AI pipelines for data processing and inference
• Deploy and manage applications on AWS, with exposure to GCP and Azure
• Implement CI/CD pipelines, containerization, and cloud deployments
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Optimize cloud infrastructure for cost, performance, and reliability
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Follow best practices for security, monitoring, and logging

Required Qualifications

• 2–4 years of professional experience in Python development
• Strong understanding of backend frameworks: FastAPI, Flask, Django
• Hands-on experience integrating AI/ML systems into applications
• Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
• Exposure to Google Cloud Platform (GCP) and Microsoft Azure
• Experience with Docker and CI/CD workflows
• Understanding of scalable system design principles
• Strong problem-solving and debugging skills
• Ability to work collaboratively in a product-driven environment

Perks and Benefits

• Work in Nikhil Kamath funded startup
• ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
• Opportunity to build long-term wealth through ESOP participation
• Work on production-scale AI systems used in real-world applications
• Hands-on experience with AWS, GCP, and Azure architectures
• Work with a team that values clean engineering, experimentation, and execution
• Exposure to modern backend frameworks, AI pipelines, and DevOps practices
• High autonomy, fast decision-making, and real ownership of features and systems

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Job Title: Software Development Engineer – III (SDE-III)

Location: Sector 55, Gurugram (Onsite)

Work Timings: Regular day shift, 5 days working

About Master-O

Master-O is a next-generation sales enablement and microskill learning platform designed to empower frontline sales teams through gamification, AI-driven coaching, and just-in-time learning. We work closely with large enterprises to improve sales readiness, productivity, and on-ground performance at scale.

As we continue to build intelligent, scalable, and enterprise-ready products, we are looking for a seasoned SDE-III who can take ownership of complex modules, mentor engineers, and contribute to architectural decisions.

Role Overview

As an SDE-III at Master-O, you will play a critical role in designing, building, and scaling core product features used by large enterprises with high user volumes. You will work closely with Product, Design, and Customer Success teams to deliver robust, high-performance solutions while ensuring best engineering practices.

This is a hands-on role requiring strong technical depth, system thinking, and the ability to work in a fast-paced B2B SaaS environment.

Required Skills & Experience

• 4–5 years of full-time professional experience in software development
• Strong hands-on experience with:
• React.js
• Node.js & Express.js
• JavaScript
• MySQL
• AWS
• Prior experience working in B2B SaaS companies (preferred)
• Experience handling enterprise-level applications with high concurrent users
• Solid understanding of REST APIs, authentication, authorization, and backend architecture
• Strong problem-solving skills and ability to write clean, maintainable, and testable code
• Comfortable working in an onsite, collaborative team environment

Good to Have

• Experience working with or integrating LLMs, AI assistants, or Agentic AI systems
• Experience with cloud platforms and deployment workflows
• Prior experience in EdTech, Sales Enablement, or Enterprise Productivity tools

Why Join Master-O?

• Opportunity to build AI-first, enterprise-grade products from the ground up
• High ownership role with real impact on product direction and architecture
• Work on meaningful problems at the intersection of sales, learning, and AI
• Collaborative culture with fast decision-making and minimal bureaucracy
• Be part of a growing product company shaping the future of sales readiness

Review Criteria

• Strong AI/ML Test Engineer
• 5+ years of overall experience in Testing/QA
• 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
• Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
• Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
• Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
• Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
• Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
• Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
• Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

• CV Attachment is mandatory
• Have you worked with large datasets for AI/ML testing?
• Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
• Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials

About Hack Daily

Hack Daily is a fast-moving digital platform focused on building, breaking, and rethinking ideas across startups, tech, culture, and business. We value speed, originality, and clarity over safe, boring design.

Role Overview

We’re looking for a Graphic Designer who can translate ideas into visuals that stop the scroll. You’ll work closely with content, marketing, and product teams to create designs that are bold, clean, and internet-savvy.

Key Responsibilities

• Design creatives for social media (Instagram, LinkedIn, Twitter/X, Meta ads)
• Create visual assets for blogs, newsletters, landing pages, and campaigns
• Develop brand-consistent templates, thumbnails, and carousels
• Collaborate with content and growth teams to convert ideas into visuals
• Experiment with trends, formats, and styles without losing brand clarity
• Deliver designs quickly while maintaining quality

What We’re Looking For

• Strong command of Photoshop, Illustrator, Figma, or Canva
• Solid understanding of typography, color, spacing, and composition
• Ability to think conceptually, not just execute briefs
• Awareness of Gen-Z / internet design trends
• Can take feedback, iterate fast, and still defend good design choices
• Portfolio or sample work is mandatory (college projects count)

Good to Have (Not Mandatory)

• Motion graphics or basic video editing skills
• Experience with ad creatives or performance design
• Understanding of branding and visual storytelling

Why Join Hack Daily

• Real ownership and visible impact
• Fast learning curve and creative freedom
• Work with a team that values ideas over titles
• A brand that encourages experimentation, not copy-paste design