50+ Artificial Intelligence (AI) Jobs in India

Mode Employment – Fulltime and Permanent

Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore

Working Days: 5 days

Working Model: Hybrid - 3 days WFO and 2 days Home

Position Overview

As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.

Key Responsibilities:

• Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.
• Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.
• Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.
• Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.
• Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.
• Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.
• Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.
• Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications.
• Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.
• Exceptional communication and collaboration skills in English.
• Willingness to travel as needed.

Preferred:

• Background in driving team culture, agile project management, and experience embedding AI in industrial products.
• Familiarity with sociocratic or consent-based management practices.
• Knowledge in embedded programming is an advantage.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Big companies are like giant boats with a thousand rowers — you can’t feel your pull move the boat. Shoppin isn’t that boat. We’re a 10-person crew rowing like our lives depend on it — each one the best at what they do, each stroke moving the product forward every single day. If you believe small, fast, obsessive teams can beat giants, read on.

What You’ll Do:

Build and optimize Shoppin’s vibe, image, and inspiration search, powering both text and image-based discovery.

Work on vector embeddings, retrieval pipelines, and semantic search using ElasticSearch, Redis caching, and LLM APIs.

Design and ship high-performance Python microservices that move fast and scale beautifully.

Experiment with prompt engineering, ranking models, and multimodal retrieval.

• Collaborate directly with the founder — moving from idea → prototype → production in hours, not weeks.

 Tech You’ll Work With

• Languages & Frameworks: Python, FastAPI
• Search & Infra: ElasticSearch, Redis, PostgreSQL
• AI Stack: Vector Databases, Embeddings, LLM APIs (OpenAI, Gemini, etc.)
• Dev Tools: Cursor, Docker, Kubernetes
• Infra: AWS / GCP

 What We’re Looking For

• Strong mathematical intuition — you understand cosine similarity, normalization, and ranking functions.
• Experience or deep curiosity in text + image search.
• Comfort with Python, data structures, and system design.
• Speed-obsessed — you optimize for velocity, not bureaucracy.
• Hungry to go all-in, ship hard things, and make a dent.

Bonus Points

• Experience with LLM prompting or orchestration.
• Exposure to recommendation systems, fashion/culture AI, or multimodal embeddings.
• You’ve built or scaled something end-to-end yourself.

Salary: ₹3.5 LPA( Based on the performance)

Experience: 1–3 Years (ONLY FOR FEMALES)

We are looking for a Technical Trainer skilled in HTML, Java, Python, and AI to conduct technical trainer. The trainer will create learning materials, deliver sessions, assess student performance, and support learners throughout the training. Strong communication skills and the ability to explain technical concepts clearly are essential.

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

We are seeking a Developer Team Lead who will own the technical execution, architecture, and delivery of Super AI’s core platforms and customer implementations. This role requires a hands-on leader who can guide full-stack and AI engineers, ensure high-quality code, and translate business and government requirements into scalable, secure, and production-ready systems.

The ideal candidate is equally comfortable writing code, reviewing architectures, mentoring developers, and collaborating with product, pre-sales, and leadership teams.

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

. Security & Governance - 

• Implement and enforce MFA / access control / role-based permissions.
• Strengthen endpoint security, patching, device encryption, and basic incident response.
• Network hygiene: Secure Wi-Fi (guest vs internal), firewall rules, VPN (as required)
• Cloud, Email & Data Organization
• Admin ownership of Google Workspace and/or Microsoft 365
• Improve email organisation (shared inboxes, groups, retention, anti-phishing)
• Define and maintain folder structure + naming standards + permissions

2.  Backup & Recovery

• Design and execute a data backup strategy(3-2-1 approach preferred)
• Schedule backups + perform restore drills for critical data
• IT Operations & Internal Communication
• Hardware/software standardization (Windows / Apple devices, printers, scanners, NAS)
• IT Helpdesk basics + asset register + access documentation

3. AI & SaaS Enablement 

• Execute and implement AI Tools / SaaS for departments(securely and responsibly)
• Drive adoption/training of Google Apps, MS 365, and Apple workflows for staff + technicians

About Us

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence.

More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs.

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. 

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!

Role: GenAI/LLM Engineer – Domain-Specific AI Solutions (Telecom)

About the Job

We are seeking a highly skilled GenAI/LLM Engineer to design, fine-tune, and operationalize Large Language Models (LLMs) for telecom business applications. This role will be instrumental in building domain-specific GenAI solutions, including the development of domain-specific LLMs, to transform telecom operational processes, customer interactions, and internal decision-making workflows.

Roles & Responsibility:

• Build domain-specific LLMs by curating domain-relevant datasets and training/fine-tuning LLMs tailored for telecom use cases.
• Fine-tune pre-trained LLMs (e.g., GPT, Llama, Mistral) using telecom-specific datasets to improve task accuracy and relevance.
• Design and implement prompt engineering frameworks, optimize prompt construction and context strategies for telco-specific queries and processes.
• Develop Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases (e.g., FAISS, Pinecone) to enhance LLM performance on internal knowledge.
• Build multi-agent LLM pipelines using orchestration tools (LangChain, LlamaIndex) to support complex telecom workflows.
• Collaborate cross-functionally with data engineers, product teams, and domain experts to translate telecom business logic into GenAI workflows.
• Conduct systematic model evaluation focused on minimizing hallucinations, improving domain-specific accuracy, and tracking performance improvements on business KPIs.
• Contribute to the development of internal reusable GenAI modules, coding standards, and best practices documentation.

Desired Profile

• Familiarity with multi-modal LLMs (text + tabular/time-series).
• Experience with OpenAI function calling, LangGraph, or agent-based orchestration.
• Exposure to telecom datasets (e.g., call records, customer tickets, network logs).
• Experience with low-latency inference optimization (e.g., quantization, distillation).

Technical skills

• Hands-on experience in fine-tuning transformer models, prompt engineering, and RAG architecture design.
• Experience delivering production-ready AI solutions in enterprise environments; telecom exposure is a plus.
• Advanced knowledge of transformer architectures, fine-tuning techniques (LoRA, PEFT, adapters), and transfer learning.
• Proficiency in Python, with significant experience using PyTorch, Hugging Face Transformers, and related NLP libraries.
• Practical expertise in prompt engineering, RAG pipelines, and LLM orchestration tools (LangChain, LlamaIndex).
• Ability to build domain-adapted LLMs, from data preparation to final model deployment.

Work Experience

7+ years of professional experience in AI/ML, with at least 2+ years of practical exposure to LLMs or GenAI deployments.

Educational Qualification

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field.
• Ph.D. preferred for foundational model work and advanced research focus.

This is a unique opportunity to work directly with the Founder’s Office at iDreamCareer. As a part of Founder's Office , you will get a front-row seat to how a mission-driven organization operates and scales. You'll contribute to key initiatives and support high-priority tasks across functions. We're looking for someone who’s organized, curious, and ready to take ownership.

Key Responsibilities:

• Provide direct support to the Founder's office on daily operations and key projects.
• Assist in tracking key business metrics and preparing reports and presentations for the leadership team.
• Help coordinate projects across different departments, ensuring smooth communication and timely execution of tasks.
• Manage documentation and handle scheduling for important internal and external meetings.
• Conduct foundational research on assigned topics to support ongoing projects.
• Handle special projects and ad-hoc tasks as they arise within the Founder's office.

Qualifications:

• 0-4 year of relevant work experience
• Strong organizational skills and the ability to manage multiple tasks simultaneously.
• Excellent communication and interpersonal skills.
• A strong sense of ownership and a proactive, "can-do" attitude.

Probation - 6 months

Preferred Skills:

• Passion for Impact: A genuine love for the education industry and a strong alignment with our mission to empower students to build better futures.
• First-Principles Thinking: The ability to break down complex problems into their core elements and reason up from there. We value clear, structured thought.
• Data-Driven Communication: High proficiency in using MS Excel for analysis and problem-solving, coupled with the ability to create clear, concise presentations (PowerPoint, Google Slides).
• AI Proficiency: Familiar with leveraging AI tools (e.g., ChatGPT) for research, drafting, and task efficiency.
• Comfortable using AI tools (like ChatGPT), spreadsheets, slides, and productivity software
• Grit & Adaptability: Resilience in the face of challenges and the ability to thrive in a fast-paced, dynamic environment.
• Intellectual Curiosity: A genuine desire to learn rapidly across different business functions.

The selected candidate is required to fine tune LLM models, train them in distributed mode using SLURM framework, perform the necessary data engineering, training process monitoring and tuning, analysis, and documentation.

Qualification

•  Bachelor’s or master’s degree in computer science, Electrical Engineering, Electronics, or related field

•  5 – 8 years of hands-on experience in Embedded Systems and AI/ML development

•  Strong programming proficiency in Python, C/C++, and embedded development

•  Practical experience with embedded ML frameworks such as TensorFlow Lite, ONNX Runtime, Edge Impulse, or similar

• Solid understanding of real-time embedded systems, microcontroller architectures, and communication protocols

•  Experience with model optimization techniques (quantization, pruning, hardware-specific acceleration) is a plus

•  Familiarity with edge hardware platforms such as ARM Cortex, STM32, ESP32, NVIDIA Jetson, or similar is desirable.

Your job Responsibilities :

•    Develop, optimize, and deploy machine learning models for embedded and edge devices

•   Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions

•   Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms

•   Implement pipelines for model conversion, quantization, and hardware acceleration

•   Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems

•   Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions

•   Work with the global research teams to translate concepts into scalable prototypes for industrial automation.

ROLES AND RESPONSIBILITIES:

Video-led Content Strategy:

• Implement the video-led content strategy to meet business objectives like increase in views, leads, product awareness and CTR
• Execute the video content framework that talks to a varied TG, mixes formats and languages (English and vernacular)

Production:

• Ability to write/edit clear and concise copy and briefs unique to the platform, and influence/direct designers and agencies for creative output
• Creating the monthly production pipeline, review and edit every piece of video content that is produced
• Explore AI-based and production automation tools to help create communication stimuli at scale
• Manage our agency and partner ecosystem to support high-scale video production
• Manage the monthly production flow and maintain data sheets to enable ease of tracking
• Increase CTR, Views and other critical metrics for all video production

Project Management:

• Oversee the creation of various video formats, including explainer videos, product demos, customer testimonials, etc.
• Plan and manage video production schedules, ensuring timely delivery of projects within budget
• Upload and manage video content across multiple digital platforms, including the digital platforms and other relevant platforms
• Ensure all video content is optimized for each platform, following best practices for SEO and audience engagement
• Coordinate with the content team to integrate video content on the platforms
• Maintain an archive of video assets and ensure proper documentation and tagging

Capabilities:

• Drive the development of capabilities around production, automation, upload, thereby leading to a reduction in TAT and effort
• Work with technology teams to explore Gen AI tools to deliver output at scale and speed
• Identifying opportunities for new formats and keeping up with trends in the video content space

Customer obsession and governance:

• Relentless focus on making customer interactions non-intrusive; using video content to create a frictionless experience
• Zero tolerance for content and communication errors
• Develop a comprehensive video guidelines framework that is easy to use by businesses yet creates a distinct identity for the brand
• Have a strong eye for grammar and ensure that every content unit adheres to the brand tone of voice
• Create checks and balances in the system so that all customer-facing content is first time right, every time

Performance tracking:

• Tracking and analyzing production, go-live status and engagement metrics using tools like Google Analytics, etc.
• Gauge efficacy of video content produced, and drive changes wherever needed
• Provide regular reports on video performance, identifying trends, insights, and areas for improvement

IDEAL CANDIDATE:

Qualifications:

• Bachelor's degree in Communications, Digital Marketing, Advertising or a related field
• Proven experience as a creative/content writer or in a similar role, preferably with exposure to AI-driven content creation.

Work Experience:

• 3-5 years of relevant experience in the space of content marketing/advertising, experience in Digital Marketing with a focus on video content, will be an advantage

Skills:

• Excellent command over the English language
• Hands-on experience of copywriting, editing, and creating communication
• Ability to handle complex briefs and ideate out of the box
• Creative thinking and problem-solving skills, with a passion for storytelling and visual communication
• Deep customer focus by understanding customer behaviour and analyzing data & real-world experiences
• Detailed orientation & very structured thinking, think of customers' entire journey and experience
• Strong communication and collaboration skills to effectively work with diverse teams
• Passion for emerging technologies and the ability to adapt to a fast-paced and evolving environment
• Excellent project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines
• Proficiency in AI tools and video editing software (e.g., Adobe Premiere Pro, Final Cut Pro) and familiarity with graphic design
• software (e.g., Adobe After Effects, Photoshop)

PERKS, BENEFITS, WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

1. Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5years experience as Architect, should be from Data Engineering background.

• Strong hands-on background in data engineering, analytics, or data science.

• Expertise in building data platforms using:

o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,

Dataflow).

o Compute: Spark, Databricks, Flink.

o Data modelling: dimensional, relational, NoSQL, graph.

• Proficiency with Python, SQL, and data pipeline orchestration tools.

• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

• 8+ years of experience in data engineering, data science, or architecture roles.

• Experience designing enterprise-grade AI platforms.

• Certification in major cloud platforms (AWS/Azure/GCP).

• Experience with governance tooling (Collibra, Alation) and lineage systems

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

Machine Learning Engineer | 3+ Years | Mumbai (Onsite)

Location: Ghansoli, Mumbai

Work Mode: Onsite | 5 days working

Notice Period: Immediate to 30 Days preferred

About the Role

We are hiring a Machine Learning Engineer with 3+ years of experience to build and deploy prediction, classification, and recommendation models. You’ll work on end-to-end ML pipelines and production-grade AI systems.

Must-Have Skills

• 3+ years of hands-on ML experience
• Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch)
• Experience with feature engineering, model training & evaluation
• Hands-on with Azure ML / Azure Storage / Azure Functions
• Knowledge of modern AI concepts (embeddings, transformers, LLMs)

Good to Have

• MLOps tools (MLflow, Docker, CI/CD)
• Time-series forecasting
• Model serving using FastAPI

Why Join Us?

• Work on real-world ML use cases
• Exposure to modern AI & LLM-based systems
• Collaborative engineering environment
• High ownership & learning opportunities

AI Agent Builder – Internal Functions and Data Platform Development Tools

About the Role:

We are seeking a forward-thinking AI Agent Builder to lead the design, development, and deployment, and usage reporting of Microsoft Copilot and other AI-powered agents across our data platform development tools and internal business functions. This role will be instrumental in driving automation, improving onboarding, and enhancing operational efficiency through intelligent, context-aware assistants.

This role is central to our GenAI transformation strategy. You will help shape the future of how our teams interact with data, reduce administrative burden, and unlock new efficiencies across the organization. Your work will directly contribute to our “Art of the Possible” initiative—demonstrating tangible business value through AI.

You Will:

•                 Copilot Agent Development: Use Microsoft Copilot Studio and Agent Builder to create, test, and deploy AI agents that automate workflows, answer queries, and support internal teams.

•                 Data Engineering Enablement: Build agents that assist with data connector scaffolding, pipeline generation, and onboarding support for engineers.

•                 Knowledge Base Integration: Curate and integrate documentation (e.g., ERDs, connector specs) into Copilot-accessible repositories (SharePoint, Confluence) to support contextual AI responses.

•                 Prompt Engineering: Design reusable prompt templates and conversational flows to streamline repeated tasks and improve agent usability.

•                 Tool Evaluation & Integration: Assess and integrate complementary AI tools (e.g., GitLab Duo, Databricks AI, Notebook LM) to extend Copilot capabilities.

•                 Cross-Functional Collaboration: Partner with product, delivery, PMO, and security teams to identify high-value use cases and scale successful agent implementations.

•                 Governance & Monitoring: Ensure agents align with Responsible AI principles, monitor performance, and iterate based on feedback and evolving business needs.

•                 Adoption and Usage Reporting: Use Microsoft Viva Insights and other tools to report on user adoption, usage and business value delivered.

What We're Looking For:

•                 Proven experience with Microsoft 365 Copilot, Copilot Studio, or similar AI platforms, ChatGPT, Claude, etc.

•                 Strong understanding of data engineering workflows, tools (e.g., Git, Databricks, Unity Catalog), and documentation practices.

•                 Familiarity with SharePoint, Confluence, and Microsoft Graph connectors.

•                 Experience in prompt engineering and conversational UX design.

•                 Ability to translate business needs into scalable AI solutions.

•                 Excellent communication and collaboration skills across technical and non-technical

Bonus Points:

•                 Experience with GitLab Duo, Notebook LM, or other AI developer tools.

•                 Background in enterprise data platforms, ETL pipelines, or internal business systems.

•                 Exposure to AI governance, security, and compliance frameworks.

•                 Prior work in a regulated industry (e.g., healthcare, finance) is a plus.

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

Job Overview:

We are seeking an experienced Head of Data Science to lead our data-driven decision-making and innovation initiatives. This role requires a highly skilled leader who can drive advanced analytics, AI/ML models, and data-driven strategies to optimize business performance. The ideal candidate should have 10+ years of experience in data science, strong leadership capabilities, and a proven track record in building and deploying AI/ML models at scale.

As the Head of Data Science, you will play a crucial role in shaping our data strategy, mentoring a high-performing team, and leveraging cutting-edge technologies to drive business impact.

Key Responsibilities

• Define and execute the data science strategy to support business growth and innovation.
• Lead and manage a team of data scientists, machine learning engineers, and analysts to develop scalable AI/ML models.
• Design and implement predictive modeling, NLP, deep learning, and AI-driven automation for various business applications.
• Oversee end-to-end model development, from data acquisition to deployment in production.
• Work closely with stakeholders across engineering, product, and business teams to translate complex data insights into actionable business decisions.
• Optimize big data processing pipelines and cloud-based data infrastructure for real-time analytics.
• Stay ahead of industry trends, emerging AI technologies, and best practices in data science.
• Ensure compliance with data privacy, security, and governance regulations.

Required Skills & Qualifications

• 10+ years of experience in data science, AI/ML, or quantitative analytics with at least 3+ years in a leadership role.
• Proficiency in Python, R, SQL, and distributed computing frameworks (Spark, Hadoop, Dask).
• Hands-on experience with deep learning (TensorFlow, PyTorch), NLP, computer vision, and reinforcement learning.
• Strong understanding of MLOps, model deployment (Docker, Kubernetes), and cloud platforms (Google Cloud, AWS, Azure).
• Ability to align data science initiatives with business goals and KPIs.
• Experience in data-driven decision-making across finance, marketing, operations, or product management.
• Proven track record of leading and scaling data science teams.
• Strong ability to present complex findings to senior executives and stakeholders.
• Master’s/PhD in Computer Science, Data Science, AI, Mathematics, or a related field.
• Experience in financial markets, algorithmic trading, or fintech is a plus.

Kindly apply at https://www.wohlig.com/careers

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 Us

Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.

🌍 Global Travel

Work that literally travels the world. You’ll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.

✨ What You’ll Build

• AI Language Products
• Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.
• Non-Contact Measurement (CV + Tracking + Pose Estimation)
• Player velocity, footwork, acceleration, shot recognition, 2D/3D reconstruction, real-time edge inference.
• End-to-End Streaming Pipelines
• Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.

🧠 What You’ll Do

Train and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs→production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.

🧩 Requirements

Core Skills:

• Strong ML fundamentals (NLP/CV/multimodal)
• PyTorch/TensorFlow, transformers, ASR or pose estimation
• Data pipelines, optimisation, evaluation
• Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)
• Strong Python engineering

Bonus: Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.

🌟 Why Join Us

• Your models go LIVE in global sports broadcasts
• International travel for tournaments
• High ownership, zero bureaucracy
• Build India’s most advanced AI × Sports product
• Cool, futuristic problems + freedom to innovate
• Up to ₹40LPA for exceptional talent
• 
  

🔥 You Belong Here If You…

Build what the world hasn’t seen • Want impact on live sports • Thrive in fast-paced ownership-driven environments.

🚀 About Us

At Remedo, we're building the future of digital healthcare marketing. We help doctors grow their online presence, connect with patients, and drive real-world outcomes like higher appointment bookings and better Google reviews — all while improving their SEO.

We’re also the creators of Convertlens, our generative AI-powered engagement engine that transforms how clinics interact with patients across the web. Think hyper-personalized messaging, automated conversion funnels, and insights that actually move the needle.

We’re a lean, fast-moving team with startup DNA. If you like ownership, impact, and tech that solves real problems — you’ll fit right in.

🛠️ What You’ll Do

• Build and maintain scalable Python back-end systems that power Convertlens and internal applications.
• Develop Agentic AI applications and workflows to drive automation and insights.
• Design and implement connectors to third-party systems (APIs, CRMs, marketing tools) to source and unify data.
• Ensure system reliability with strong practices in observability, monitoring, and troubleshooting.

⚙️ What You Bring

• 2+ years of hands-on experience in Python back-end development.
• Strong understanding of REST API design and integration.
• Proficiency with relational databases (MySQL/PostgreSQL).
• Familiarity with observability tools (logging, monitoring, tracing — e.g., OpenTelemetry, Prometheus, Grafana, ELK).
• Experience maintaining production systems with a focus on reliability and scalability.
• Bonus: Exposure to Node.js and modern front-end frameworks like ReactJs.
• Strong problem-solving skills and comfort working in a startup/product environment.
• A builder mindset — scrappy, curious, and ready to ship.

💼 Perks & Culture

• Flexible work setup — remote-first for most, hybrid if you’re in Delhi NCR.
• A high-growth, high-impact environment where your code goes live fast.
• Opportunities to work with Agentic AI and cutting-edge tech.
• Small team, big vision — your work truly matters here.

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

Job Overview:

As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along  with strong expertise in cloud-based architectures.

Key Responsibilities:

AI Tutor & Simulation Intelligence

• Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
• Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
• Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
• Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.

Platform & System Architecture

• Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
• Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
• Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.

Reliability, Security & Analytics

• Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
• Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
• Set up real-time learning analytics to measure comprehension and identify concept gaps.

Leadership & Collaboration

• Mentor and elevate engineers across backend, ML, and front-end teams.
• Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
• Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.

Qualifications & Skills:

• 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
• Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
• Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience designing microservices and API ecosystems for high-concurrency platforms.
• Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
• Demonstrated ability to work with educational data, content pipelines, and real-time systems.

Bonus Skills (Nice to Have):

• Experience with multi-modal AI models (text, image, audio, video).
• Knowledge of AI safety, ethical AI, and explain ability techniques.
• Prior work in AI-powered automation tools or AI-driven SaaS products.

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

******

Notice period - 0 to 15 days (Max 30 Days)

Educational Qualifications: BE/B.Tech or equivalent in: (Computer Science / IT) /Data Science

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

Artificial Intelligence Research Intern 

We are looking for a passionate and skilled AI Intern to join our dynamic team for a 6-month full-time internship. This is an excellent opportunity to work on cutting-edge technologies in Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing (NLP), contributing to real-world projects that create a tangible impact. 

Key Responsibilities: 

• Research, design, develop, and implement AI and Deep Learning algorithms. 

• Work on NLP systems and models for tasks such as text classification, sentiment analysis, and 

data extraction. 

• Evaluate and optimize machine learning and deep learning models. 

• Collect, process, and analyze large-scale datasets. 

• Use advanced techniques for text representation and classification. 

• Write clean, efficient, and testable code for production-ready applications. 

• Perform web scraping and data extraction using Python (requests, BeautifulSoup, Selenium, APIs, etc.). 

• Collaborate with cross-functional teams and clearly communicate technical concepts to both technical and non-technical audiences. 

Required Skills and Experience: 

• Theoretical and practical knowledge of AI, ML, and DL concepts. 

• Good Understanding of Python and libraries such as:TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, Scipy, Matplotlib NLP tools like NLTK, spaCy, etc. 

• Strong understanding of Neural Network Architectures (CNNs, RNNs, LSTMs). 

• Familiarity with data structures, data modeling, and software architecture. 

• Understanding of text representation techniques (n-grams, BoW, TF-IDF, etc.). 

• Comfortable working in Linux/UNIX environments. 

• Basic knowledge of HTML, JavaScript, HTTP, and Networking. 

• Strong communication skills and a collaborative mindset. 

Job Type: Full-Time Internship 

Location: In-Office (Bhayander) 

Please note: Candidates who have applied in the last 6 months are requested not to reapply

Position Overview:

We are looking for an experienced Senior Laravel Developer who thrives in a fast-paced environment and has experience handling multiple projects and diverse interfaces. The ideal candidate will lead the development and maintenance of applications, ensuring security, scalability, and seamless third-party integrations while collaborating with front-end developers, UX/UI designers, and key stakeholders.

Requirements:

- Experience: Approx.1 year to 6 years in PHP development with a focus on Laravel & MySQL.

- Deep understanding of Laravel architecture (Service Container, Service Providers, Facades,

Eloquent ORM, Queues, Jobs, Events, Middleware, Broadcasting, and Caching).

- Front-End: Proficiency in HTML5, CSS3, Bootstrap 5, jQuery, AJAX

- Version Control & Tools: Experience with Git, JIRA, AWS SDK

- Payment Integrations: At least one payment gateway (e.g., Stripe, Braintree, Plaid, Razorpay)

- Third-Party API Integrations: Experience with Firebase, Google Maps, Email/SMS services

- Work Environment: Ability to work in a fast-paced, high-performance setting and efficiently manage multiple projects and interfaces

- Experience with Laravel Sanctum/Passport for authentication and API security.

- REST API development & documentation (Apiary)

Good to Have:

- Experience with multiple databases (MySQL, PostgreSQL, MongoDB)

- Basic knowledge of AWS services (S3, EC2, RDS, SES)

- Understanding of encryption, hashing, encoding (SES, SHA, RSA)

- Experience integrating Stripe Payment Gateway

-Experience working on AI/ML-based projects or research

-Exposure to AI models with applications (e.g., using APIs or SDKs)

Job Details:

Job Type: Full-time

Salary: 5,00,000 - 20,00,000 per year

Schedule: Monday - Friday

Location: Balewadi-Baner Road, Pune (In-Person Only)

Job Type: Full-time

Benefits:

• Flexible schedule
• Paid time off

Experience:

• Total work: 5 years (Required)
• Laravel: 5 years (Required)

Work Location: In person

Job Title: Video Editor Intern

Location: Bengaluru, India

Experience: 0–1 Year (Internship)

Employment Type: Internship

Company Overview

IAi Solution Pvt Ltd, operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We are seeking a Video Editor Intern to support our creative team in producing short-form and long-form video content. The intern will assist in scripting, editing, and publishing engaging video narratives that reflect Big Air Lab’s brand identity. This role is ideal for students or early-career professionals who want hands-on exposure to AI-driven video storytelling and digital media production.

Key Responsibilities

• Assist in producing daily short-form videos (20–30 seconds) covering AI news and updates.
• Support creation of long-form content such as podcasts, explainers, and product demos.
• Script, shoot, and edit videos using professional editing tools under guidance.
• Ensure video content aligns with Big Air Lab’s brand identity and storytelling tone.
• Collaborate with design, product, and AI research teams to represent features accurately.
• Experiment with meme-driven or trend-based formats to boost organic reach.
• Prepare weekly reports on video output, performance metrics, and planned content.

Qualifications

• Currently pursuing or recently completed a degree/diploma in Media, Design, Film Studies, or related fields.
• Strong interest in AI, technology, and digital storytelling.
• Basic knowledge of video editing tools (Premiere Pro, Final Cut, DaVinci Resolve, or similar).
• Familiarity with social media video formats and trends.

Must-Have Skills

• Video editing, scripting, camera handling basics, creative storytelling.

Good-to-Have Skills

• Knowledge of animation/motion graphics tools (After Effects, Canva, etc.).
• Familiarity with podcast production or long-form video editing.
• Understanding of AI/tech concepts for simplified storytelling.

Perks & Benefits

• Hands-on experience with cutting-edge AI video production.
• Mentorship from experienced professionals in creative and product teams.
• Opportunity to experiment with new formats and creative ideas.
• Flexible working hours and collaborative environment.
• Certificate of Internship and potential for full-time opportunities.

Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)

About IntraIntel.ai

IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.

Role Summary

The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.

Key Responsibilities

• GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
• 
  
• Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
• 
  
• Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
• 
  
• Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
• 
  
• Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
• 
  
• Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
• 
  
• Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
• 
  
• Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
• 
  
• Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
• 
  

Qualifications

• Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
• 
  
• AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
• 
  
• Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
• 
  
• Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
• 
  
• Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
• 
  
• Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
• 
  
• Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
• 
  
• Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
• 
  

Performance Expectations & KPIs

• Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
• 
  
• Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
• 
  
• Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
• 
  
• Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
• 
  
• Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
• 
  
• Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
• 
  

Additional Notes

This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.

Position: Senior Sales Executive – AI Platforms

Location: India (remote, with travel as required)

Employment Type: Full-time

About IntraIntel.ai

IntraIntel.ai is an end‑to‑end AI platform that helps enterprises unlock value from their data. The platform unifies clinical, financial and operational data via connectors and employs generative, retrieval‑augmented, and prescriptive AI to automate workflows and accelerate decision‑making. The solution is HIPAA/GDPR/SOC2/HITRUST compliant and supports multiple verticals including healthcare, clinical research, manufacturing and finance.

Summary of Role

We are seeking a seasoned sales leader who will build IntraIntel.ai’s presence in India and support growth in the US and Middle East markets. This role is ideal for an entrepreneurial seller who has successfully grown AI‑enabled SaaS products and understands enterprise healthcare, clinical trial, finance or manufacturing domains. You will develop our go‑to‑market strategy, build and manage the sales pipeline, and close high‑value deals with US‑based and global customers. You will work closely with our product, marketing and customer‑success teams to translate the platform’s technical capabilities into business outcomes.

Key Responsibilities

1. Go‑to‑market strategy & pipeline management

• Craft and execute a regional sales strategy aligned with corporate revenue goals and market positioning. Define target customer segments and build a robust pipeline of qualified leads, leveraging your network and working with marketing to create multi‑channel campaign.
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• Establish the sales funnel and forecasting process, monitor key metrics (e.g., lead‑to‑opportunity conversion, win rate, average deal size), and implement CRM best practices. Provide accurate monthly/quarterly forecasts to leadership
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2.Revenue generation & business growth

• Own the entire sales cycle from prospecting to closing. Conduct compelling demos of IntraIntel.ai’s platform, articulate the value of unified AI agents and RAG capabilities for customers’ business problems, and negotiate pricing and contracts
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• Identify and build strategic partnerships in healthcare, clinical trial, finance and manufacturing sectors to drive growth. Support channel partners and resellers in the US, India and Dubai.

3.Market research & customer insights

• Perform continuous market research to understand industry trends, competitive landscape, and regulatory changes. Identify triggers such as new regulations, reimbursement shifts or data‑integration challenges that drive demand for IntraIntel.ai.
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• Define ideal customer profiles, buyer personas and use‑case stories. Provide feedback to product and marketing teams to refine messaging and product roadmap
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4.GTM execution & cross‑functional collaboration

• Collaborate with marketing to plan and execute campaigns, webinars, and events. Design sales–marketing SLAs and ensure smooth lead hand‑off and follow‑through
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• Work with product management to tailor demos and proof‑of‑concepts for key accounts. Provide input into pricing, packaging and feature prioritisation based on market feedback.
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5.Relationship management & thought leadership

• Build executive‑level relationships with healthcare providers, CROs, medical device firms, finance leaders, and manufacturing executives. Represent IntraIntel.ai at conferences and thought‑leadership events to build brand awareness.
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• Maintain ongoing relationships with customers post‑sale to ensure satisfaction and identify expansion opportunities.

6.Team leadership & mentoring

• While initially an individual contributor, you will help recruit, train and mentor junior sales talent as we scale. Share best practices, coach team members in consultative selling and negotiation, and foster a high‑performance culture
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7.Metrics & KPIs

• Define and meet KPIs such as revenue quotas, pipeline coverage, conversion rates, average deal cycle length, and customer acquisition cost. Prepare executive reports and dashboards to track progress and highlight risks or opportunities
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Skills & Experience

• Sales expertise: 7+ years in enterprise sales with a track record of selling AI/SaaS platforms to US, India and Middle‑East markets. Familiarity with healthcare, clinical trial operations, financial services, real estate or manufacturing verticals is a strong plus.
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• AI & SaaS literacy: Ability to grasp AI technologies such as LLMs, retrieval‑augmented generation and AI agents, and translate them into business value for enterprise clients. Prior experience selling data platforms, analytics or automation solutions is desirable.
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• Strategic & analytical: Demonstrated success in designing and executing GTM plans, performing market segmentation, and using data and KPIs to drive decision‑making Proficient in CRM and sales analytics tools.
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• Relationship builder: Strong network with C‑suite and senior decision makers in healthcare, clinical trial, finance and manufacturing. Excellent communication, negotiation and storytelling skills to persuade technical and non‑technical audiences
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• Cross‑functional collaborator: Proven ability to work with marketing, product and customer success teams. Comfortable presenting feedback to leadership and aligning teams around shared revenue goals
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• Leadership & growth mindset: Ability to mentor junior sales professionals and build a high‑performance sales team. Entrepreneurial spirit with adaptability to a rapidly evolving AI landscape.
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• Education & travel: Bachelor’s degree (MBA or relevant postgraduate degree is a plus). Willingness to travel across India, US and Middle East.
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What Success Looks Like

• Revenue & pipeline: Achieving and exceeding annual revenue targets and maintaining a healthy pipeline across different geographies. Delivering consistent forecast accuracy.
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• Market penetration: Establishing IntraIntel.ai as a preferred AI platform in at least one major vertical in India and creating a foothold for expansion into the US and Middle East.
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• Customer adoption: Securing strategic reference customers, obtaining positive testimonials, and achieving high renewal and expansion rates.
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• Team & process: Building scalable sales processes, playbooks and metrics dashboards; helping to hire and train new team members; and fostering a culture of collaboration with marketing and product teams.

Strong Senior Data Scientist (AI/ML/GenAI) Profile

Mandatory (Experience 1) – Must have a minimum of 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production

Mandatory (Experience 2) – Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

Mandatory (Experience 3) – Must have 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.

Mandatory (Experience 4) – Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

mandatory (Note): Budget for upto 5 yoe is 25Lacs, Upto 7 years is 35 lacs and upto 12 years is 45 lacs, Also client can pay max 30-40% based on candidature

Job description:

Role: Sr Business Development Executive

Location: Hyderabad, India

Job description

We are looking for a rockstar Inside Sales Executive to work with our Sales and Marketing team to develop and execute a healthy lead generation program, driving qualified leads into the sales pipeline. He will be responsible for generating qualified leads and arrange meetings for sales teams through multi-channel outreach (USA)

Responsibilities:

• Understand the organizational goals and gain knowledge of CloudTern offerings
• Leverage LinkedIn services to research and reach out to potential Accounts and decision makers based on the Ideal Customer Profile
• Should be able to perform research about the target market and industries during lead generation activities
• Generate new leads using LinkedIn, Email marketing, cold calling, and other relevant marketing channels and activities
• Should make outbound calls daily to the allocated target list
• Should be able to convert cold calls to new business leads
• Meet monthly Quota (4 Leads) consistently
• Follow-up on inbound organic and inorganic leads from lead generation pages/campaigns.
• Communicate professionally with potential prospects on the phone, email, LinkedIn to learn about their business needs and build a productive business relationship.
• Should be proactive in identifying opportunities for new business leads.
• Should have good knowledge of Email marketing

Requirements:

• Bachelor's Degree or MBA (Marketing) is a plus
• Experience- 4-6 years in Cold calling & Lead Generation from the USA market
• Experience in B2B Software Services Industry
• Experience in Cold calling to USA market and generate leads
• Must have existing network of Decision makers from USA
• Good communication skills verbal as well as written is must
• Good knowledge of LinkedIn Navigator, HubSpot and Apollo.io
• Willing to work in the office daily - 5:30 PM - 02:30 AM
• Understanding of digital marketing concepts

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

We are looking for a Senior AI / ML Engineer to join our fast-growing team and help build AI-driven data platforms and intelligent solutions. If you are passionate about AI, data engineering, and building real-world GenAI systems, this role is for you!

🔧 Key Responsibilities

• Develop and deploy AI/ML models for real-world applications

• Build scalable pipelines for data processing, training, and evaluation

• Work on LLMs, RAG, embeddings, and agent workflows

• Collaborate with data engineers, product teams, and software developers

• Write clean, efficient Python code and ensure high-quality engineering practices

• Handle model monitoring, performance tuning, and documentation

Required Skills

• 2–5 years of experience in AI/ML engineering

• Strong knowledge of Python, TensorFlow/PyTorch

• Experience with LLMs, GenAI, RAG, or NLP

• Knowledge of Databricks, MLOps or cloud platforms (AWS/Azure/GCP)

• Good understanding of APIs, distributed systems, and data pipelines

🎯 Good to Have

• Experience in healthcare, SaaS, or big data

• Exposure to Databricks Mosaic AI

• Experience building AI agents

AI/LLM Test Automation Engineer (SDET)

Location: Bangalore (Hybrid preferred)

Experience: 5-8 Years

Job Summary

We are seeking a Senior Test Automation Engineer (SDET) with expertise in AI/LLM testing and Azure DevOps CI/CD to build robust automation frameworks for cutting-edge AI applications. The role combines deep programming skills (Java/Python), modern DevOps practices, and specialized LLM testing to ensure high-quality AI product delivery.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java/Python for web, mobile, API, and backend testing.
• Create and manage YAML-based CI/CD pipelines in Azure DevOps for end-to-end testing workflows.
• Perform AI/LLM testing including prompt validation, content generation evaluation, model behavior analysis, and bias detection.
• Write and maintain BDD Cucumber feature files integrated with automation suites.
• Execute manual + automated testing across diverse application layers with focus on edge cases.
• Implement Git branching strategies, code reviews, and repository best practices.
• Track defects and manage test lifecycle using ServiceNow or similar tools.
• Conduct root-cause analysis, troubleshoot complex issues, and drive continuous quality improvements.

Mandatory Skills & Experience

✅ 5+ years SDET/Automation experience

✅ Java/Python scripting for test frameworks (Selenium, REST Assured, Playwright)

✅ Azure DevOps YAML pipelines (CI/CD end-to-end)

✅ AI/LLM testing (prompt engineering, model validation, RAG testing)

✅ Cucumber BDD (Gherkin feature files + step definitions)

✅ Git (branching, PRs, GitFlow)

✅ ServiceNow/Jira defect tracking

✅ Manual + Automation testing (web/mobile/API/backend)

Technical Stack

Programming: Java, Python, JavaScript

CI/CD: Azure DevOps, YAML Pipelines

Testing: Selenium, Playwright, REST Assured, Postman

BDD: Cucumber (Gherkin), JBehave

AI/ML: Prompt validation, LLM APIs (OpenAI, LangChain)

Version Control: Git, GitHub/GitLabDefect

Tracking: ServiceNow, Jira, Azure Boards

Preferred Qualifications

• Exposure to AI testing frameworks (LangSmith, Promptfoo)
• Experience with containerization (Docker) and Kubernetes
• Knowledge of performance testing for AI workloads
• AWS/GCP cloud testing experience
• ISTQB or relevant QA certifications

What We Offer

• Work on next-gen AI/LLM products with global impact
• Modern tech stack with Azure-native DevOps
• Flexible hybrid/remote work model
• Continuous learning opportunities in AI testing

Role Overview

Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.

Why Clink?

Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:

• ML-driven customer behavior analysis (Pattern detection)
• Personalized offers via LLMs and custom AI agents
• ROI prediction and forecasting models
• Instagram marketing rewards integration

Tech Stack:

• Python,
• FastAPI,
• PostgreSQL,
• Redis,
• Docker,
• LLMs

You Will Work On:

AI Agents: Design and optimize AI agents

ML Models: Build redemption prediction, customer segmentation, ROI forecasting

Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices

System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing

Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities

Must-Have Skills

Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency

Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset

Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest

About the Role

We are looking for a highly skilled and experienced Full Stack Software Development Engineer to join our team focused on building and enhancing an Agentic AI Framework. You will be instrumental in developing scalable, reliable, and intelligent AI-based systems, contributing across the stack—from front-end interfaces to back-end infrastructure, and cloud deployment pipelines.

This is a dynamic and forward-thinking role, perfect for developers passionate about AI/ML advancements and keen to continuously grow in the evolving landscape of software engineering.

Key Responsibilities

• Design, develop, and maintain scalable and responsive front-end and back-end components of the Agentic AI Framework.
• Implement RESTful and GraphQL APIs for seamless integration across services.
• Optimize performance and ensure high availability across distributed systems.
• Collaborate with cross-functional teams including AI/ML engineers, data scientists, and DevOps.
• Write clean, maintainable, and testable code.
• Contribute to architecture discussions, code reviews, and project planning.
• Keep up-to-date with advancements in AI/ML algorithms, frameworks, and data science practices.
• Act as a primary point of contact for L3/L4 production support, including:

o  Debugging and resolving live issues

o  Delivering hot patches and quick fixes

o  Managing emergency and planned production releases

·      Own and operate the release lifecycle including version control, deployment, rollback strategies, and documentation

• Support deployment, monitoring, and scaling efforts using DevOps and cloud infrastructure.

Required Skills

• Front-end: React.js, TypeScript, HTML5, CSS3, Redux, Tailwind or Material UI
• Back-end: Java, Kotlin, Spring Boot, Node.js
• Databases: PostgreSQL, Redis, MongoDB, MySQL
• Architecture: Microservices, API Gateways, Event-driven architecture
• DevOps (Preferred): Docker, Kubernetes, CI/CD (e.g., Jenkins, GitHub Actions), AWS/GCP/Azure
• Testing: JUnit, Jest, Selenium, Postman
• Strong understanding of design patterns, data structures, and algorithms
• Familiarity or keen interest in AI/ML, LLMs, data science tools, and workflows

Nice to Have

• Experience with observability tools (Grafana, Prometheus, ELK stack)
• Japanese language proficiency (not mandatory, but a plus)

Who You Are

• A problem-solver with a proactive mindset
• Able to adapt quickly to new technologies and challenges
• Comfortable working in a fast-paced, innovative environment
• Collaborative with excellent communication skills

Perks & Benefits

• Learning support for AI/ML upskilling
• International and diverse team culture

Work on cutting-edge AI-driven products

Skills - Python (Pandas, NumPy) and backend frameworks (FastAPI, Flask), ETL processes, LLM, React.js or Angular, JavaScript or TypeScript.

• Strong proficiency in Python, with experience in data manipulation libraries (e.g., Pandas,

NumPy) and backend frameworks (e.g., FastAPI, Flask).

• Hands-on experience with data engineering and analytics, including data pipelines, ETL

processes, and working with structured/unstructured data.

• Understanding of React.js/ Angular, JavaScript/TypeScript for building responsive user

interfaces.

• Familiarity with AI/ML concepts and eagerness to grow into a deeper AI-focused role.

• Ability to work in cross-functional teams and adapt quickly to evolving technologies.

About Us:

MyOperator and Heyo are India’s leading conversational platforms, empowering 40,000+ businesses with Call and WhatsApp-based engagement. We’re a product-led SaaS company scaling rapidly, and we’re looking for a skilled Software Developer to help build the next generation of scalable backend systems.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain a scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
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Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

ROLES AND RESPONSIBILITIES:

• 2-4 years of experience designing in consumer-focused product companies. (Bonus points if you've worked in startups or fintech!)
• Gather requirements from stakeholders, derive problem statements and plan design engagements. Also, proactively launch efforts to improve different aspects of the product.
• Ensuring design quality, consistency, and coherence within the product.
• Design flows and experiences that are incredibly simple and elegant.
• Collaborate and conduct user research and evaluate user feedback on designs and do iterations according to feedback.
• Experiment and validate design ideas and opinions.
• Expert-level understanding of the design tools (Figma/Adobe Suite/etc.) It would be a bonus if you know exactly how to create super cool micro-interactions using any tool like Principle, AfterEffects or ProtoPie.
• A collaborative team player who can work well with Product, Engineering, Business and Customer experience teams to ensure that everyone is aligned with the design vision.

IDEAL CANDIDATE:

• You've a tech mindset. Although, you are not expected to code.
• You have strong opinions, loosely held
• You spend time agonising over the meta-design details but know when to choose progress over perfection.
• You have experience designing cross-platform experiences, from the web to native mobile.
• You know how to use Al tools like Midjourney.

WHAT WE VALUE?

• Having a great taste/intuition is important to move fast.
• You take the shot like an artist - You decide fast and deliver right
• You are the CEO of what you do - You show ownership and make things happen.
• You own the overall experience including copy, graphics, etc.

Company: MotionGility

Location: Indore (On-site)

Employment Type: Full-time

Experience: Freshers or Upto 2 years of experience

Company Introduction

Join India’s leading creative video agency, MotionGility, and be part of a team creating high-impact visuals for global brands. We help brands communicate, grow, and stand out in the digital world.

Role Overview

We are hiring Illustration-Based Graphic Designers who can create high‑quality character illustrations, scenes, and visual storytelling assets.

This role is suitable for freshers who have strong artistic sense, concept understanding, and proficiency in core design tools.

Key Responsibilities

• Create illustrations based on the script provided (characters, backgrounds, scenes, elements).
• Convert concepts into clean and appealing visual designs.
• Collaborate with scriptwriters and motion designers for accurate visual representation.
• Maintain brand consistency and follow MotionGility’s visual style.
• Understand project requirements, scripts, and design briefs clearly.
• Deliver illustration assets ready for motion graphics team usage.

Tools Required

• Adobe Photoshop (must-have)
• Adobe Illustrator (must-have)
• After Effects tools – basic understanding (required)
• Other Illustration tools is a plus

Skills & Abilities Required

• Strong understanding of concepts, composition, and visual storytelling
• Ability to understand and interpret scripts effectively
• Good command of English (reading + understanding for script clarity)
• Strong imagination and creative thinking
• Ability to adapt to MotionGility’s illustration style and quality standards

Key Qualities We Want

• Eager to learn and open to feedback
• Strong grasping ability
• Dedicated, consistent, and quality‑focused
• Ability to adapt quickly and meet MotionGility output standards
• Strong illustration and design skills are what matter.

Job Title: Sensor Expert – MLFF (Multi-Lane Free Flow) Engagement Type: Consultant / External Associate Organization: Bosch - MPIN

Location: Bangalore, India

Purpose of the Role:

To provide technical expertise in sensing technologies for MLFF (Multi-Lane Free Flow) and ITMS (Intelligent Traffic Management System) solutions. The role focuses on camera systems, AI/ML based computer vision, and multi-sensor integration (camera, RFID, radar) to drive solution performance, optimization, and business success. Key

Responsibilities:

• Lead end-to-end sensor integration for MLFF and ITMS platforms.

• Manage camera systems, ANPR, and data packet processing.

• Apply AI/ML techniques for performance optimization in computer vision.

• Collaborate with System Integrators and internal teams on architecture and implementation.

• Support B2G proposals (smart city, mining, infrastructure projects) with domain expertise.

• Drive continuous improvement in deployed MLFF solutions. 

Key Competencies:

• Deep understanding of camera and sensor technologies, AI/ML for vision systems, and system integration.

• Experience in PoC development and solution optimization.

• Strong analytical, problem-solving, and collaboration skills.

• Familiarity with B2G environments and public infrastructure tenders preferred.

Qualification & Experience:

• Bachelor’s/Master’s in Electronics, Electrical, or Computer Science.

• 8–10 years of experience in camera technology, AI/ML, and sensor integration.

• Proven track record in system design, implementation, and field optimization.

🚀 Join GuppShupp: Build Bharat's First AI Lifelong Friend

GuppShupp's mission is nothing short of building Bharat's First AI Lifelong Friend. This is more than just a chatbot—it's about creating a truly personalized, consistently available companion that understands and grows with the user over a lifetime. We are pioneering this deeply personal experience using cutting-edge Generative AI.

We're hiring a Founding AI Engineer (1+ Year Experience) to join our small team of A+ builders and craft the foundational LLM and infrastructure behind this mission.

If you are passionate about:

• Deep personalization and managing complex user state/memory.
• Building high-quality, high-throughput AI tools.
• Next-level infrastructure at an incredible scale (millions of users).

What you'll do (responsibilities)

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and iterate on AI

Prompt Engineering & Testing

• Write, test, and iterate numerous prompt variations.
• Identify and fix failures, biases, or edge cases in AI responses.

Advance LLM and Development

• Engineer solutions for long-term conversational memory and statefulness in LLMs.
• Implement techniques (e.g., retrieval-augmented generation (RAG) or summarization) to effectively manage and extend the context window for complex tasks.

Collaboration & Optimization

• Work with product and growth teams to turn feature goals into effective technical prompts.
• Optimize prompts for diverse use cases (e.g., chat, content, personalization).

LLM Fine-Tuning & Management

• Prepare, clean, and format datasets for training.
• Run fine-tuning jobs on smaller, specialized language models.
• Assist in deploying, monitoring, and maintaining these models

What we're looking for (qualifications)

You are an AI Engineer who has successfully shipped systems in this domain for over a year—you won't need ramp-up time. We prioritize continuous learning and hands-on skill development over formal qualifications. Crucially, we are looking for a teammate driven by a sense of duty to the user and a passion for taking full ownership of their contributions.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Things you'll be working on

1. How to improve conversion rate? How do we make sure our message resonates with more & more people who land on the website. This will mean mapping their journey before they land and following through to understand what is it they're seeing on the website and why are they not moving forward.
2. Understand the user's pain points and incorporate proactive solutions in our digital communication for the channels you own.
3. Collaborating to find tech enabled solutions to business problems like how do we make our packaging staff more efficient, how do we manage inventory better, ensuring communication around delays is automated and handled better, etc.
4. Working on setting up and optimizing our CRM for better engaging with the users.

Qualifications

• 2+ years of working experience
• Previous experience in product is mandatory
• Experience with Shopify is a plus
• Strong with numbers and ability to manage multiple moving pieces together
• Ability to communicate well with all team members and keep members in sync
• Functional knowledge of AI tools and ability to learn new ones will help you stand out

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

At iDreamCareer, we’re on a mission to democratize career guidance for millions of young learners across India and beyond. Technology is at the heart of this mission — and we’re looking for an Engineering Manager who thrives in high-ownership environments, thinks with an enterprising mindset, and gets excited about solving problems that genuinely change lives.

This is not just a management role. It’s a chance to shape the product, scale the platform, influence the engineering culture, and lead a team that builds with heart and hustle.

As an Director-Engineering here, you will:

• Lead a talented team of engineers while remaining hands-on with architecture and development.
• Champion the use of AI/ML, LLM-driven features, and intelligent systems to elevate learner experience.
• Inspire a culture of high performance, clear thinking, and thoughtful engineering.
• Partner closely with product, design, and content teams to deliver delightful, meaningful user experiences.
• Bring structure, clarity, and energy to complex problem-solving.
• This role is ideal for someone who loves building, mentoring, scaling, and thinking several steps ahead.

Key Responsibilities

Technical Leadership & Ownership

• Lead end-to-end development across backend, frontend, architecture, and infrastructure in partnership with product and design teams.
• Stay hands-on with the MERN stack, Python, and AI/ML technologies, while guiding and coaching a high-performance engineering team.
• Architect, develop, and maintain distributed microservices, event-driven systems, and robust APIs on AWS.

AI/ML Engineering

• Build and deploy AI-powered features, leveraging LLMs, RAG pipelines, embeddings, vector databases, and model evaluation frameworks.
• Drive prompt engineering, retrieval optimization, and continuous refinement of AI system performance.
• Champion the adoption of modern AI coding tools and emerging AI platforms to boost team productivity.

Cloud, Data, DevOps & Scaling

• Own deployments and auto-scaling on AWS (ECS, Lambda, CloudFront, SQS, SES, ELB, S3).
• Build and optimize real-time and batch data pipelines using BigQuery and other analytics tools.
• Implement CI/CD pipelines for Dockerized applications, ensuring strong observability through Prometheus, Loki, Grafana, CloudWatch.
• Enforce best practices around security, code quality, testing, and system performance.

Collaboration & Delivery Excellence

• Partner closely with product managers, designers, and QA to deliver features with clarity, speed, and reliability.
• Drive agile rituals, ensure engineering predictability, and foster a culture of ownership, innovation, and continuous improvement

Required Skills & Experience

• 8-15 years of experience in full-stack or backend engineering with at least 5+ years leading engineering teams.
• Strong hands-on expertise in the MERN stack and modern JavaScript/TypeScript ecosystems.
• 5+ years building and scaling production-grade applications and distributed systems.
• 2+ years building and deploying AI/ML products — including training, tuning, integrating, and monitoring AI models in production.
• Practical experience with SQL, NoSQL, vector databases, embeddings, and production-grade RAG systems.
• Strong understanding of LLM prompt optimization, evaluation frameworks, and AI-driven system design.
• Hands-on with AI developer tools, automation utilities, and emerging AI productivity platforms.

Preferred Skills

• Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, etc.) and advanced tool-calling workflows.
• Experience building async workflows, schedulers, background jobs, and offline processing systems.
• Exposure to modern frontend testing frameworks, QA automation, and performance testing.

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.