50+ Artificial Intelligence (AI) Jobs in India

Key Skills & Experience:

 Project and delivery management for large-scale IT and AI programs.

 Strong QA leadership across manual, automation, and performance testing.

 Hands-on experience with Playwright, Selenium, and CI/CD pipelines.

 Experience using AI tools for requirement intelligence and defect analytics.

 Strong Agile / Scrum and scaled delivery experience.

 Excellent stakeholder communication and team leadership skills.

Qualifications & Certifications :

 Bachelor’s degree in IT / Engineering; MBA preferred.

Technical Product Manager

A senior individual contributor role at the intersection of product direction, engineering process, and client outcomes. You will be the person who turns ambiguity into shipped features — and keeps a growing platform from accumulating invisible debt.

Looking for someone who:

– Has managed a tech team through a structural process change and can speak specifically about what broke, what they changed, and what improved

– Has taken a product from its first documentation-zero state to a well-documented, institutionally resilient one

– Has sat in a difficult client conversation where the client wanted something unreasonable — and held the line without losing the relationship

– Has managed someone who pushed back on being managed, and has a specific, unsanitised story about how it went

–Understands SSO/SAML, HRMS integration patterns or other enterprise integration complexity at a level sufficient to write a technical spec without engineering input

–Has used Jira (or equivalent) as a process governance tool — sprint velocity, bug classification, release notes, retrospective action tracking — not just a task list

– Has worked in L&D tech, HR tech, sales enablement or an adjacent SaaS vertical — understands that end users are often frontline workers with limited digital literacy

– Has Figma proficiency and can make design decisions on wireframes independently

Wama Technology

Location: Mumbai (Onsite - Chembur)

Experience: 8 – 14 years

Salary: ₹10L – ₹16.5L/yr (Monthly: ₹85,000 – ₹1,40,000 depending on skill set)

Employment Type: Full-time

Job Description:

We are looking for a high-caliber Lead PHP – Laravel Developer with a strong background in technical leadership to join our team. This role requires a blend of deep hands-on coding and strategic team management. You will oversee a team of developers while acting as the primary technical liaison for our client, ensuring that the architecture is scalable and that the team follows rigorous development standards.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of developers, conduct code reviews, and drive technical excellence across the sprint.
• Architecture & Design: Design complex database schemas and system architectures using Laravel 10+ and PHP 8.x best practices.
• Client Management: Lead technical discussions with client stakeholders to gather requirements and provide progress updates.
• Code Quality: Implement standardized linting, unit testing, and documentation protocols to maintain a high-quality codebase.
• Performance Optimization: Identify and fix bottlenecks in high-traffic applications, focusing on Eloquent query optimization and caching strategies.

Technical Skills & Qualifications:

• Total Experience: 8–14 years in PHP Development.
• Leadership Experience: Strictly 4+ years of experience in leading technical teams, managing sprints, and mentoring junior/mid-level developers.
• Laravel Expertise: Advanced proficiency in Laravel (Service Containers, Service Providers, Middlewares, and Custom Packages).
• Full-Stack Capability: * Strong frontend skills: Tailwind CSS, JavaScript (ES6+), and HTML5/CSS3.
• Working knowledge of React.js and TypeScript for modern interface development.
• Database & API: * Expertise in MySQL (Complex joins, indexing, and optimization).
• Deep experience in developing and securing RESTful APIs with OAuth/Sanctum.
• Environment: Proficiency in Docker, Linux/Ubuntu server management, and Git (Gitflow workflow).

Additional Requirements:

• Agile Mastery: Deep understanding of Scrum/Agile ceremonies and the ability to manage workloads via Jira or ClickUp.
• AI-Driven Development: Experience integrating or using AI-assisted tools (Cursor, Windsurf, or GitHub Copilot) to increase team velocity is a significant plus.
• Communication: Fluent professional English is mandatory for client-side coordination.

What We Offer

• Leadership Role: High-level autonomy to make architectural decisions and lead a dedicated team.
• Competitive Pay: A performance-driven salary package with growth opportunities.

Experience:

• Total PHP Development: 8+ years (Required)
• Team Leading: 3+ years (Required)
• Laravel: 6+ years (Required)

Content Ops Intern / CRM Intern

Location: HSR Layout, Bengaluru

Role Type: Full-time Internship

Duration: 3 months (Performance-based PPO)

About AppsForBharat

AppsForBharat is building beautifully crafted, AI-first consumer experiences that help millions of Indians connect with spirituality and culture. Backed by Peak XV Partners, Elevation, Fundamentum, and other top-tier investors, we are one of India’s fastest-growing Series C consumer-tech companies.

Our flagship product, Sri Mandir, is the world’s largest platform for Hindu devotees—powering rituals, devotional content, personalized experiences, and a thriving spiritual ecosystem.

India’s $44B devotion economy is still largely offline. We are digitizing this space by building scalable, meaningful, and deeply cultural experiences.

About the Role

We are looking for a Content Ops Intern to own and operate the Mandir feature end-to-end. This is a highly execution-driven role combining devotional understanding, content creation, operations, CRM execution, and AI-led workflows.

This role is ideal for someone who can think deeply, execute fast, and continuously improve systems.

Key Responsibilities

Mandir Feature Ownership

• Own end-to-end operations of the Mandir feature
• Create and manage service/store pages within CMS
• Regularly update:
• Dates
• Availability
• Quantities/configurations

Content & Creative Execution

• Create devotional content (copy, formats, messaging)
• Produce devotional music/content using AI tools
• Ensure cultural and religious sensitivity in all outputs

CRM Campaign Execution

• Execute campaigns across:
• Push Notifications
• WhatsApp
• SMS
• Use tools like MoEngage and Gupshup
• Understand and implement:
• User journeys
• Segmentation
• Campaign flows

Operations & Process Optimization

• Translate on-ground temple operations into digital workflows
• Identify inefficiencies and reduce manual effort over time
• Coordinate across:
• CMS
• Product
• Ground operations

Social Media & Content Analytics

• Assist in content uploads across platforms
• Track and analyze performance metrics (engagement, reach, CTR, etc.)
• Derive insights to improve content performance

What We’re Looking For

1. Strong Devotional Context

• Deep understanding of Hindu devotional ecosystem (aartis, bhajans, rituals)
• High sensitivity to religious sentiment

2. Operations Mindset (Critical)

• Comfortable working with CMS tools
• Strong execution ability and attention to detail
• Ability to simplify and optimize workflows

3. Creative & Content-Oriented

• Strong instinct for devotional content and storytelling
• Ability to write compelling copy
• Interest in AI-led content/music creation

4. AI & Prompting Skills

• Familiarity with tools like:
• ChatGPT, Claude, Perplexity, Gemini
• Understanding of prompting and AI-assisted workflows

5. Basic CRM Understanding

• Exposure to lifecycle marketing or CRM tools
• Understanding of user journeys and campaign execution

6. Social Media & Analytics Awareness

• Basic knowledge of social media platforms and publishing
• Ability to analyze content performance metrics

7. Problem Solving (P0 Skill)

• Strong thinking ability
• Structured approach to solving ambiguous problems

Nice to Have

• Prior experience with CMS tools or content operations
• Exposure to devotional/spiritual content creation
• Experience working with marketing automation tools

Why Join Us

• Real Ownership: Run a core feature end-to-end
• High Learning Curve: Work across content, ops, CRM, and AI
• Impact at Scale: Build for millions of devotees
• Fast Growth: PPO based on performance

Job Role: AI Generalist

Experience Level: 2+ Years

Location: Bangalore, Karnataka (On-site).

We are looking for someone with strong hands-on knowledge and up to-date exposure to AI tools such as Gemini, Flow, Kling, Runway, and other emerging platforms in the generative video space. The candidate should be comfortable experimenting across tools and selecting the right workflows based on project requirements.

In addition, the candidate should have solid working knowledge of After Effects, Premiere Pro, and Photoshop for editing, compositing, and refining AI-generated outputs. Beyond tools, the person should have a good creative sense AI video generation of editing, including:

● Understanding of pacing, transitions, and storytelling for short-form content

● Ability to bring fresh ideas and visual approaches to AI-generated videos

● Strong problem-solving mindset when dealing with tool limitations or inconsistencies

● Interest in continuously exploring and adapting to the latest AI technologies

Given the nature of our recent work, the candidate should also:

● Be comfortable working in a fast-paced, iterative environment

● Handle multiple variations and prompt-based outputs efficiently

● Have a strong eye for visual quality, motion realism, and overall polish

● Be adaptable and quick in learning and implementing new tools/workflows

Additionally, the person should be proactive, self-driven, and able to manage tight timelines effectively.

Are you passionate about Artificial Intelligence and automation? We are looking for dedicated and eager-to-learn individuals to join our team for a 100-day internship as an AI Workflow Developer.

This is a strictly learning-focused, unpaid opportunity designed to give you practical, hands-on experience under expert guidance. If you want to bridge the gap between theoretical knowledge and real-world AI development, this is the perfect place to start.

📌 Internship Highlights:

• Role: AI Workflow Developer Intern
• Duration: 100 Days
• Work Mode: Flexible Remote
• Time Commitment: 5 hours per day
• Stipend: Unpaid (Learning and professional development focused)

💡 What We Offer:

• Expert Mentorship: Work directly with experienced developers who will guide you through modern development workflows and real-world problem-solving.
• Structured Courses: Gain access to specialized learning materials covering AI automation, API integrations, and the fundamentals of workflow architecture.
• Live Project Experience: Move beyond theory by contributing to practical AI integrations and agentic workflows.
• Certification: Receive a verified internship certificate upon successful completion of your 100-day journey.

🛠️ What You'll Be Doing:

• Learning to build, automate, and optimize AI-driven workflows.
• Exploring prompt engineering and integrating LLM APIs into functioning applications.
• Collaborating with the team on testing, troubleshooting, and deploying AI solutions.

🎯 Who Should Apply?

• Tech enthusiasts with a foundational understanding of programming (Python preferred) and basic AI concepts.
• Self-starters who are highly motivated, disciplined, and ready to dedicate 5 hours daily to their professional growth.

📩 How to Apply: Ready to accelerate your learning? Send your resume and a brief introduction to hello[@]thecodershub.co.in.

We are looking for a motivated and enthusiastic Full Stack Intern to join our development team. The ideal candidate should have a strong interest in frontend development, backend systems, and AI/ML technologies, along with a willingness to learn and contribute to real-world projects.

Role: Full Stack Intern

Technologies:

• Frontend: React.js, Next.js
• AI/ML: Basic understanding of Machine Learning concepts and AI integrations

Responsibilities:

• Develop and maintain responsive web applications using React.js and Next.js
• Build and integrate backend APIs and services
• Work with databases and server-side logic
• Assist in AI/ML feature integrations and model implementations
• Collaborate with designers, developers, and team leads
• Debug, test, and optimize application performance
• Participate in code reviews and daily team discussions

Requirements:

• Basic knowledge of React.js and Next.js
• Understanding of JavaScript, HTML, and CSS
• Familiarity with backend development using python or similar technologies
• Basic understanding of REST APIs and databases
• Interest in AI/ML technologies and tools
• Good problem-solving and communication skills
• Ability to learn quickly and work in a team environment

Preferred Skills:

• Knowledge of Git/GitHub
• Experience with MongoDB or SQL databases
• Familiarity with Python for AI/ML projects
• Understanding of deployment and hosting platforms

Internship Details:

• Duration: 6 Months
• Internship Type: Remote
• Stipend: 8000-15000 Based on Performance

If you are passionate about building modern applications and exploring AI-powered solutions, we’d love to hear from you.

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions. 

Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills. 

Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

About the company: Wall Street Oasis is one of the largest online communities for finance careers. WSO Academy is our paid mentorship program for candidates targeting careers in investment banking, private equity, hedge funds, consulting, and related fields. Profitable, founder-led, fully remote. Small senior team with engineers in Ukraine, ops and media staff across time zones, growing international presence.

Role overview: Owning product delivery across two functions — roughly half dev team coordination and roadmap execution, half internal automation and new product work with the US team. This is a high-ownership role reporting directly to the founder.

Responsibilities:

• Own product roadmap across WSO platform (Drupal) and WSO Academy (student dashboard, mentor tools, AI-powered features)
• Run sprint planning, write clear specs and tickets, unblock engineers
• Translate business priorities into buildable backlog
• Scope and ship internal automations (ops workflows, CRM, reporting)
• Drive AI product initiatives — we're building an AI mock interview platform across 8 industry tracks
• Document processes and reduce institutional knowledge risk
• Act as the connective tissue between the dev team and the rest of the company

Requirements:

• Proven track record of shipping product with engineering teams
• Technical literacy — system architecture, APIs, databases, ability to read specs and sanity-check implementation
• Strong written communication (most work is async)
• Comfort with ambiguity and creating structure
• Experience with distributed, multi-time-zone teams

Bonus:

• EdTech, career services, or training background
• Drupal or CMS experience
• B2C subscription / community product experience
• Hands-on AI/LLM product scoping experience
• Technical background (CS, bootcamp, or self-taught with real projects)

Compensation: Competitive, depending on experience

To apply: Short note on why this interests you + CV/LinkedIn + one example of product you shipped and what you'd do differently.

Operations Intern

📍 Near Khan Market, New Delhi (On-site)

🏢 The Brand Concierge

Key Responsibilities

• Assist in planning and managing social media calendars across platforms

• Support content creation, copywriting, and ideation for social media

• Assist in developing and executing digital marketing strategies

• Work on influencer marketing campaigns, outreach, and collaborations

• Coordinate with designers and creators for timely content delivery

• Track content performance and support basic reporting

• Contribute to organic growth and engagement strategies

What You’ll Learn

• How agency operations and workflows are managed

• Client servicing and communication processes

• Project management and execution across campaigns

• Real-time exposure to a fast-paced agency environment

Skills & Requirements

• Proficiency in Microsoft Office (Excel, Word, PowerPoint)

• Strong organizational and multitasking skills

• Good communication and coordination abilities

• Detail-oriented and proactive mindset

• Interest in operations, project management, and agency workflows

Why Join The Brand Concierge?

• Work directly with founders and understand how an agency is built

• Hands-on experience with real client projects

• Fast-paced, creative, and collaborative work environment

• Exposure to premium and luxury brand ecosystems

• Opportunity to convert into a full-time role based on performance

About The Brand Concierge

The Brand Concierge is a creative marketing agency specializing in customized, strategy-led solutions for premium and luxury brands. We work across fashion, lifestyle, beauty, home, and legacy segments to drive measurable, performance-led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. With a strong focus on design, communication, and strategy, we help brands build a distinct identity and a powerful digital presence.

Marketing Intern

📍 Near Khan Market, New Delhi (On-site)

🏢 The Brand Concierge

Key Responsibilities

• Assist in planning and managing social media calendars across platforms

• Support content creation, copywriting, and ideation for social media

• Assist in developing and executing digital marketing strategies

• Work on influencer marketing campaigns, outreach, and collaborations

• Coordinate with designers and creators for timely content delivery

• Track content performance and support basic reporting

• Contribute to organic growth and engagement strategies

What You’ll Learn

• End-to-end social media and campaign execution

• Content strategy, performance tracking, and growth insights

• Influencer marketing and brand collaborations

• Exposure to luxury and premium brand marketing

Skills & Requirements

• Familiarity with Canva or similar tools

• Working knowledge of AI tools like ChatGPT, Claude, Gemini

• Strong communication and copywriting skills

• Creative and strategic thinking

• Interest in social media, branding, and digital marketing

Why Join The Brand Concierge?

• Work closely with founders and gain insight into building an agency from the ground up

• Hands-on experience with real client projects and campaigns

• Be part of a fast-growing, creative, and collaborative environment

• Exposure to premium and luxury brands across fashion, lifestyle, beauty, and home

• Opportunity for a full-time role based on performance

About The Brand Concierge

The Brand Concierge is a creative marketing agency specializing in customized, strategy-led solutions for premium and luxury brands. We work across fashion, lifestyle, beauty, home, and legacy segments to drive measurable, performance-led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. With a strong focus on design, communication, and strategy, we help brands build a distinct identity and a powerful digital presence.

Workflow & automation tooling: ticketing (Jira/ServiceNow), knowledge base, basic automation (RPA tools or scripts), file + email workflows

Technical basics: SQL queries, API fundamentals (REST/JSON), CSV/Excel proficiency, basic Python scripting (preferred)

Deployment support: staging vs production releases, rollback discipline, configuration management, UAT coordination

Documentation: write clear SOPs, runbooks, control checklists, and audit-ready evidence packs

Stakeholder coordination: translate business issues into actionable tasks for engineers; communicate status, risk, and mitigation clearly

We are seeking a highly motivated and innovative AI SEO Specialist to join our dynamic marketing team. The ideal candidate will have expertise in search engine optimization, artificial intelligence tools, and content strategy. This role involves leveraging AI-powered platforms to enhance website rankings, drive organic traffic, and improve overall digital visibility.

Key Responsibilities

• Develop and implement effective SEO strategies to improve website rankings and organic search performance.
• Utilize AI tools such as ChatGPT, Surfer SEO, Jasper, and other SEO automation platforms for keyword research, content optimization, and competitor analysis.
• Conduct comprehensive keyword research, including long-tail and intent-based keywords.
• Optimize on-page SEO elements, including meta titles, descriptions, headings, and internal linking.
• Perform technical SEO audits and collaborate with development teams to resolve issues.
• Monitor website performance using tools like Google Analytics, Google Search Console, SEMrush, and Ahrefs.
• Generate AI-assisted, SEO-friendly content briefs and optimization recommendations.
• Analyze competitors and identify opportunities for growth.
• Stay updated with the latest SEO trends, search engine algorithms, and AI advancements.
• Prepare regular performance reports and present actionable insights to stakeholders. 

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

About Antier Solutions

Antier Solutions is a global blockchain development company delivering innovative decentralized solutions and emerging technology services across industries. As we expand our AI capabilities, we are committed to building intelligent, scalable, and enterprise-grade AI systems that seamlessly integrate with Web3, FinTech, and other enterprise ecosystems.

Role Overview

We are seeking a highly skilled AI Solution Architect to lead the design and deployment of advanced AI-driven systems. The ideal candidate will be responsible for architecting end-to-end AI solutions, integrating large language models (LLMs), designing intelligent automation frameworks, and collaborating with cross-functional teams to deliver scalable AI platforms. This role demands deep technical expertise, strong architectural thinking, and hands-on implementation across AI/ML, cloud, and modern application stacks.

Key Responsibilities

• Design and architect scalable AI/ML solutions aligned with business objectives.
• Lead end-to-end solution design for LLM-based applications and enterprise AI platforms.
• Develop intelligent automation systems leveraging advanced reasoning and multi-step workflow orchestration.
• Architect conversational AI systems, recommendation engines, predictive analytics, and AI-powered decision systems.
• Define AI governance, model lifecycle management, monitoring, and MLOps strategies.
• Collaborate with engineering teams for implementation, deployment, and optimization.
• Design AI microservices architectures using modern backend frameworks.
• Work closely with product, blockchain, and Web3 teams to integrate AI capabilities into decentralized ecosystems.
• Evaluate and select appropriate AI frameworks, tools, and cloud services.
• Provide technical leadership, mentorship, and architectural guidance to cross-functional teams

Required Skills & Expertise

Core AI & ML

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt engineering).
• Experience designing systems capable of autonomous task execution and decision workflows.
• Strong understanding of vector databases, embeddings, and RAG pipelines.

Architecture & Engineering

• Experience designing distributed systems and microservices architecture.
• Strong knowledge of Python, FastAPI/Flask, and relevant AI frameworks (TensorFlow, PyTorch, LangChain, etc.).
• Experience building scalable APIs and AI backend systems.
• Strong understanding of system design, performance tuning, and scalability

Cloud & DevOps

• Experience with AWS/Azure/GCP AI services.
• Experience with containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and MLOps frameworks.
• Experience implementing AI monitoring and observability practices.

Data Engineering

• Experience working with large datasets, ETL pipelines, and real-time processing.
• Familiarity with vector databases and knowledge graphs.

Good to Have

• Experience integrating AI within blockchain/Web3 ecosystems.
• Exposure to intelligent multi-agent or orchestrated AI systems.
• Understanding of AI security, compliance, and ethical AI practices.
• Experience in enterprise AI transformation projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 8+ years of experience in software engineering.
• 4+ years in AI/ML solution design and architecture roles.

What We Offer

• Opportunity to lead AI innovation in a fast-growing tech environment.
• Work on cutting-edge AI + Web3 integrations.
• High ownership, autonomy, and architectural leadership in a collaborative setting.
• Competitive compensation and benefits.

On-site collaboration in Mohali's innovation hub, with flexibility options where applicable

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills

Role & Responsibilities

• UX/UI Matchmaker: Lead end-to-end design for apps/web – from profile swipes to wedding planning flows. Turn "single" users into "success stories" with intuitive, delightful interfaces!
• Design System Guru: Build, own & evolve our Shaadi Design System (Figma-based) – components, tokens, guidelines that scale across products. No more design debt drama!
• B2C Superpowers: Deep-dive user research, A/B tests, & analytics in high-traffic consumer apps. Personalize journeys for 35M+ users – think AI matches, chat boosts & premium perks!
• Cross-Func Collab: Partner with PMs, Engg, & Data teams to ship fast. Mentor juniors, run critiques, & evangelize design thinking. Be the "design doctor" for sticky features!

Ideal Candidate

• Strong Product Designer, with focus on B2C Products
• Mandatory (Experience 1): Must have 5+ YOE in Product Design (both UI and UX) with atleast 2 year in B2C companies
• Mandatory (Experience 2): Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable)
• Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)
• Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies
• Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)
• Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies
• Mandatory (Note 1): CV must have portfolio link with at least 2 detailed case study
• Mandatory (Note 2): This will be a complete IC role
• Mandatory (Note 3): CTC is inclusive of 5%variable
• Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Team  -Support Operations — Technical Solutions 

Level  - IC3 (4–7 years of relevant experience) 

Location  - India (Remote) IST time zone, with overlap with US East/Central teams 

Reports To -Technical Manager 

Manages -Not a people-manager role, but a lead role with real technical authority 

Employment Type -Full-time 

ABOUT DELTEK 

Deltek is the leading global provider of software and solutions for project-based businesses — serving government contractors, professional services firms, and architecture & engineering companies. Our products help customers manage the full project lifecycle, from winning work and planning resources to executing delivery and getting paid. 

The Support Operations Technical Solutions team sits inside Deltek's Customer Success organization. We build and maintain the internal tooling, integrations, and AI-powered workflows that allow Deltek's support and customer success teams to operate at scale — intelligent case routing, knowledge-base agents, data pipelines between Salesforce, Gainsight, and Oracle Service Cloud, and automation that removes manual work from high-volume support processes. 

THE ROLE 

We are looking for a Senior System Engineer to take technical ownership of our most complex solutions. This is not a management role — it is a senior individual contributor role with real architectural authority and a multiplier effect on the team around you. 

You own problems end-to-end. You design the solution before writing the first line, consider downstream impacts before committing to an approach, and hold the technical bar for the work your team delivers. You are the person a junior engineer turns to when they're stuck, and the person a business stakeholder trusts to tell them whether an idea is feasible and what it will cost to maintain. 

In your first year, you can expect to: 

• Own the end-to-end design and delivery of major integrations and AI-enabled components from architecture through deployment and post-launch stability 
• Lead solution design for the team's most complex problems using PHP, JavaScript, Workato, APIs, and Web Services 
• Evaluate technology and platform tradeoffs and make defensible, documented recommendations that balance short-term delivery with long-term maintainability 
• Apply AI, automation, and agentic architectures to business problems at production scale — not as experiments, but as shipped systems 
• Anticipate performance, operational, and security risks before they reach production; design with those constraints in mind from day one 
• Set engineering standards and review the work of IC1/IC2 engineers, making them better through structured feedback and clear design expectations 
• Partner directly with CS operations leadership and cross-functional stakeholders to translate ambiguous business needs into concrete technical strategies 

This role suits an engineer who is past proving they can build things, and is now focused on building the right things in the right way — and helping others do the same. 

WHAT WE'RE LOOKING FOR 

Must-Have Technical Skills 

• PHP and JavaScript: Production depth: You have designed and shipped non-trivial systems in these languages. You understand performance characteristics, know where the footguns are, and write code you'd be comfortable having reviewed by a senior peer. 
• Integration architecture: You have designed system-to-system integrations — not just consumed APIs. You understand data flow, transformation logic, error handling, retry strategies, and idempotency. 
• AI / LLM applied experience: You have built or led the build of AI-assisted workflows, LLM-based tools, or agentic systems in an operational or product context. You know the difference between a demo and a production-grade AI system. 
• Relational databases: Query and schema design: You write optimized SQL, design schemas with long-term maintainability in mind, and understand when a query will cause production problems before it does. 
• Full-stack troubleshooting at depth: You can diagnose complex, multi-layer issues — across front-end, API, back-end, and database — and trace the root cause without being handed a reproduction case. 
• Technical tradeoff analysis: When evaluating tools, platforms, or approaches, you can articulate the tradeoffs clearly — not just pick what you know best — and document the rationale in a way that holds up six months later. 
• Agile technical leadership: You have led technical workstreams in a sprint-based environment: broken down epics, written meaningful acceptance criteria, and been accountable for team delivery quality. 
• Documentation and design artifacts: You produce architecture diagrams, solution designs, and technical decision records that others can act on — not just notes for yourself. 

Must-Have Leadership & Soft Skills 

• Technical mentorship: You actively make the engineers around you better. Code reviews are teaching opportunities, not gatekeeping. Design reviews are conversations, not approvals. 
• Stakeholder communication: You can translate a technical constraint into a business impact, and a business requirement into a technical specification. You don't hide behind jargon or over-simplify to avoid hard conversations. 
• Ownership under ambiguity: When a problem is poorly defined, you ask the right questions to define it — then own the answer. You don't wait for complete requirements before starting to think. 
• Proactive risk management: You raise issues before they become incidents. You've learned from production failures and carry those lessons into design decisions. 
• Business context awareness: You understand how the systems you build affect end users and business operations. You've made engineering decisions informed by that context, not just by technical preference. 

Nice-to-Have Skills 

Prioritized by relevance to this team's current and near-term roadmap: 

Oracle Service Cloud 

Workato / iPaaS 

Salesforce 

Gainsight 

Agentic AI / LLM Ops 

Snowflake 

Microsoft Power BI 

Microsoft Power Apps 

Cloud-native development 

Experience designing agentic AI systems — not just integrating LLM APIs — is highly relevant to where this team is going. Candidates who have shipped multi-step agent architectures with tool-calling, memory, and guardrails will stand out. 

RESPONSIBILITIES 

Design & Architecture 

• Own end-to-end technical solution design — from requirements through architecture, implementation, and post-launch stability — for the team's most complex initiatives 
• Lead solution design using PHP, JavaScript, Workato, APIs, and Web Services; ensure solutions are scalable, maintainable, and aligned with established governance standards 
• Evaluate tradeoffs across tools, platforms, and architectural patterns; produce documented recommendations that account for both short-term delivery needs and long-term operational cost 
• Anticipate downstream impacts, performance bottlenecks, and operational risk during the design phase — not as an afterthought in retrospect 
• Author and maintain Architecture Decision Records (ADRs) and technical design documents for all major solution components 

AI, Automation & Integration 

• Apply AI, automation, and agentic architectures to complex business problems at production scale — designing for reliability, observability, and graceful failure 
• Lead the integration of AI-enabled components (LLM workflows, intelligent routing, agentic tools) into the team's operational platform 
• Design and oversee integrations between Deltek's CS platforms (Oracle Service Cloud, Salesforce, Gainsight) and internal data systems, ensuring data integrity, performance, and auditability 
• Evaluate new AI frameworks, LLM providers, and automation platforms; provide grounded, implementation-level recommendations rather than theoretical assessments 

Technical Leadership & Mentoring 

• Serve as the primary technical reviewer for IC1/IC2 engineers — conducting structured code and design reviews that build capability, not just ship code 
• Break down complex initiatives into well-scoped workstreams that junior engineers can execute with confidence and appropriate independence 
• Establish and enforce engineering standards: code quality, documentation, testing coverage, deployment practices, and incident response 
• Identify skill gaps in the team and work with the manager to address them through pairing, documentation, or structured learning 

Stakeholder & Cross-functional Engagement 

• Translate ambiguous business and operational requirements from CS leadership into concrete technical strategies with clear milestones and measurable outcomes 
• Engage directly with senior stakeholders — CS operations leads, product owners, IT — to align on priorities, surface risks, and manage technical expectations 
• Represent the technical perspective of the team in cross-functional planning and architecture discussions 

Operate & Improve 

• Own post-launch stability of solutions you design: monitor, respond to incidents, and drive root-cause resolution — not just resolution 
• Drive continuous improvement of the team's delivery practices: identify process friction, propose solutions, and follow through on implementation 
• Stay current on AI, automation, and integration technology evolution; bring relevant advances back to the team with a concrete point of view on applicability 

QUALIFICATIONS 

• Education: Bachelor's degree in Computer Science, Electrical or Electronics Engineering, or a related technical discipline. Equivalent demonstrated experience considered. 
• Experience: 4–7 years of hands-on experience in software engineering, systems integration, or closely related work, with at least 2 years at a level where you have owned technical design decisions — not just implemented them. 
• Coding evidence: A portfolio, GitHub profile, architecture document, or production system you can speak to in depth. At IC3, we expect you to be able to walk through a non-trivial design decision you made and defend the tradeoffs. 
• AI / ML: Practical, production-level experience with LLMs or AI tooling — not just prompt engineering or personal experimentation. Familiarity with frameworks such as LangChain, OpenAI APIs, or similar platforms is a strong plus. 
• Collaboration model: Comfortable working as a technical authority in a distributed team. The role requires regular IST overlap with US East/Central stakeholders (approximately 6:30 PM – 10:30 PM IST for at least part of the week). 
• Language: Strong written and spoken English. At IC3, much of your influence operates through written design documents, async reviews, and stakeholder communications. Precision in writing matters. 

WHAT TO EXPECT WORKING HERE 

• Technical authority with real impact — your design decisions ship to production and affect how thousands of Deltek customers experience support 
• Exposure to production AI/agentic systems and direct involvement in shaping where the team's AI roadmap goes next 
• A team where senior engineers are trusted to lead, not managed step-by-step — you will have autonomy commensurate with your accountability 
• Structured growth path: IC3 engineers who demonstrate architectural leadership and cross-functional influence have a clear track toward Staff or Associate Director scope 
• Regular 1:1s, design review forums, and a manager who will invest in your growth rather than just your output 

Team -Support Operations — Technical Solutions 

Level 

IC2 (1–3 years of relevant experience) 

Location 

India (Remote) — IST time zone, with overlap with US East/Central teams 

Reports To  Tech Manager 

Employment Type  Full-time 

ABOUT DELTEK 

Deltek is the leading global provider of software and solutions for project-based businesses, serving government contractors, professional services firms, and architecture & engineering companies. Our products help customers manage the full project lifecycle — from winning work and planning resources to executing delivery and getting paid. 

The Support Operations Technical Solutions team sits inside Deltek's Customer Success organization. We build and maintain the internal tooling, integrations, and AI-powered workflows that enable Deltek's support and customer success teams to operate at scale — think intelligent case routing, knowledge-base agents, data pipelines between Salesforce, Gainsight, and Oracle Service Cloud, and automation that removes manual work from high-volume support processes. 

THE ROLE 

We are looking for a System Engineer (IC2) to join our Technical Solutions team based in India. This is a hands-on engineering role, you will build, integrate, and support the systems that power our customer-facing and internal support operations. 

In your first year, you can expect to: 

• Build and maintain integrations between support platforms (Oracle Service Cloud, Salesforce, Gainsight) using PHP, JavaScript, and Workato 
• Contribute to AI-assisted workflow automation — including LLM-based tools and intelligent routing solutions already in production 
• Write and optimize SQL queries against our operational data stores to power dashboards, reports, and automated triggers 
• Troubleshoot issues across the full stack: front-end, API layer, back-end logic, and database and document root cause findings 
• Work in a sprint-based environment alongside engineers, CS operations leads, and product stakeholders across the US and India  

This role is well-suited for someone who is early in their career but already has real project or production experience. You will work with guidance from senior engineers while taking genuine ownership of defined workstreams. The expectation is not that you know everything on day one — it is that you are technically curious, structured in your thinking, and driven to ship things that work. 

WHAT WE'RE LOOKING FOR 

Must-Have Technical Skills 

• PHP and JavaScript: Hands-on experience building or maintaining web applications, APIs, or internal tools. You have written code that went somewhere beyond your laptop. 
• REST/SOAP APIs and Web Services: You understand how system-to-system data flows work and have built or consumed integrations in a real context. 
• Relational databases and SQL: You can write optimized queries, understand joins and indexes, and are comfortable reading a schema you didn't design. 
• Full-stack troubleshooting: When something breaks, you know how to methodically trace the issue across front-end, back-end, and database layers — not just escalate it. 
• Documentation: You can translate what you built into clear written artifacts — requirements, workflow diagrams, solution designs — that a non-engineer can follow. 
• Agile/sprint delivery: You have worked in a structured sprint environment and are comfortable with ceremonies, tickets, and incremental delivery. 

Must-Have Soft Skills 

• Root-cause orientation: You don't patch symptoms and move on. You want to understand why something broke before deciding how to fix it. 
• Self-driven with good judgment: You can manage your own time on a defined problem, identify when you're stuck and need input, and flag risks before they become blockers. 
• Clear communicator across audiences: You can explain a technical problem to a non-technical stakeholder and a design decision to a senior engineer — in writing and in a call. 
• Collaborative: You work well with people you've never met in person, across time zones, and with stakeholders who don't share your technical background. 

Nice-to-Have Skills 

The following are not required for the role, but candidates with depth in any of these areas will stand out. Listed in rough order of relevance to this team's current work: 

Oracle Service Cloud 

Workato / iPaaS 

Salesforce 

Gainsight 

AI / LLM integration 

Snowflake 

Microsoft Power BI 

Microsoft Power Apps 

Cloud-native development 

Experience with AI tools (GitHub Copilot, LLM APIs, automation agents) used in an operational or product context — not just personal experimentation — is a genuine plus for this team. 

RESPONSIBILITIES 

At the IC2 level, you will primarily execute within defined frameworks and grow your independent scope over time. The following reflects what you will own and contribute to: 

Build & Integrate 

• Build and maintain AI-enabled workflows, platform integrations, and internal tools using PHP, JavaScript, Workato, and Web Services 
• Develop prototypes and proofs of concept; contribute to production deployments under senior guidance 
• Implement and test integrations between Deltek's support platforms and internal data systems 

Analyse & Solve 

• Break down defined problems into actionable tasks; identify risks, dependencies, and edge cases before they surface in production 
• Troubleshoot complex issues across the full stack and document root cause findings clearly 
• Investigate stakeholder-reported issues to identify whether the problem is technical, process-related, or both 

Operate & Improve 

• Follow established governance, architecture, and deployment processes; raise improvement suggestions through proper channels 
• Write and maintain documentation for systems, workflows, business rules, and solution designs 
• Participate actively in sprint ceremonies; manage your own tasks and flag blockers early 
• Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job 

QUALIFICATIONS 

• Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered. 
• Experience: 1–3 years of hands-on experience in software engineering, systems integration, or a closely related field. Internship and co-op experience counts if it involved real production systems. 
• Coding: Demonstrable PHP and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application. 
• Collaboration model: Comfortable working remotely with distributed teams. The role requires regular overlap with US East/Central time zones (approximately 6:30 PM – 10:30 PM IST for at least part of the week). 
• Language: Strong written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing. 

WHAT TO EXPECT WORKING HERE 

• A small, technically-focused team where your work is visible and your contributions are directly tied to outcomes customers feel 
• Exposure to production AI/LLM systems, not just theoretical discussions about AI 
• A culture that values root-cause thinking and good documentation over heroics and quick fixes 
• Growth path: engineers who demonstrate technical depth and ownership at IC2 have a clear track toward IC3 (mid-level) scope within 18–24 months 
• Regular 1:1s and structured feedback — this team invests in making you better, not just keeping you busy 

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1 Year

CTC: ₹12 LPA

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

About the Role

We are looking for a highly motivated Software/Hardware Engineer from premier institutes (IIT/NIT) with strong fundamentals and a passion for building scalable and efficient systems. This role offers an opportunity to work on cutting-edge technology and solve real-world problems.

Key Responsibilities

Design, develop, and optimize software/hardware solutions

Work on system architecture, debugging, and performance improvements

Collaborate with cross-functional teams (product, design, operations)

Participate in code reviews, testing, and deployment processes

Contribute to innovation and continuous improvement initiatives

Requirements

B.Tech/M.Tech from IITs/NITs (Computer Science, Electronics, Electrical, or related fields)

1 year of experience (internships/project experience considered)

Strong programming skills (C/C++/Python/Java) or hardware fundamentals (embedded systems, VLSI, circuit design)

Good understanding of data structures, algorithms, and system design

Problem-solving mindset with strong analytical skills

Preferred Skills

Experience with embedded systems, IoT, or product development

Knowledge of cloud platforms or system-level programming

Good in Computer vision, Flutter, JavaScript, AI/ML

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt engineering, workspace usage, and automation

. Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows. * Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

1. Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

2. Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Why you’ll love being a ‘Searcian’

NOT your ‘usual’ management consultancy; we ‘solve differently’.

• We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
• The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
• No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
• No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
• No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
• Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
• Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
• Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
• You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
• Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Title: AI Solutions Architect

Location: Gurgaon

Experience: 2-6 years

Type: Full-Time

About the company:

InteligenAI is a fast growing, profitable AI product studio with a global clientele.

We design and deliver enterprise-grade, custom AI solutions that solve real problems - going far beyond makeshift PoCs and over-promising demos.

We’re building one of the most trusted AI services companies in the world - and are looking for a driven, entrepreneurial person to help us get there. Our work spans Agentic AI architectures, document digitization pipelines, retrieval-augmented generation (RAG) systems, and SFT + RLHF workflows - all built in-house so we can move fast, think deep and deliver with confidence.

If you are looking for meaningful work, high ownership and the freedom to push boundaries, you will feel right at home here.

About the role:

We are looking for a hands-on AI engineer to lead AI solution delivery across our client engagements. This role blends technical leadership with solution architecture and a strong product mindset. You will be at the frontline of AI solution delivery, where you will drive the full product lifecycle from understanding business objectives, designing technical approaches, building POCs to delivering production-grade AI systems.

This is not a backseat, “wait for instructions” role. You will work directly with founders, clients, and our growing AI team to shape solutions that make an impact. This role is ideal for someone with an entrepreneurial mindset, a desire to learn and grow constantly and someone who enjoys their work thoroughly. You will be handling multiple responsibilities simultaneously where you will be challenged every day. If you are looking for a 9-to-5 role, this may not be the right fit.

Key responsibilities:

·      Understand business problems, translate them into solution architectures and lead end-to-end AI solution delivery

·      Design and deliver production-grade ML/GenAI systems tailored to real-world use cases

·      Collaborate with clients to identify needs, present solutions and guide implementation

·      Act as a thought partner to the founder and contribute to strategic decisions

·      Lead and mentor a growing AI/Tech team

·      Collaborate with product and design teams to ship AI-driven features that solve real user problems

·      Continuously explore and experiment with cutting-edge GenAI tools, technologies and frameworks

Must have skills:

·      2+ years of hands-on experience building AI/ML solutions across domains

·      Proven ability to understand business workflows and design relevant AI solutions

·      Strong knowledge of GenAI and experience building scalable applications using LLMs, prompt engineering and embedding models

·      Proficient in Python and familiar with libraries/frameworks such as LangChain, Hugging Face Transformers, OpenAI APIs, Pinecone/FAISS

·      Solid understanding of data pipelines, data analytics and ability to take solutions from prototype to production

·      Self-starter mindset- ability to independently manage projects, make decisions and deliver outcomes from day 1

·      Excellent communication and problem-solving skills

Good to have:

·      Open-source contributions or personal GenAI projects

·      Experience working in startups or fast-paced, tech-first organizations

·      Experience with MLOps tools

·      Entrepreneurial experience

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1.5+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Software Engineer

Onsite - HSR Bangalore

6 Days work from Office (Flexible working hours)

Product is a PowerPoint AI assistant used by consulting companies and Fortune 500 teams. A typical professional spends 1 to 3 hours creating one slide. With Product company, they create a v1 of their entire deck in 10 minutes, and make changes like “turn this table to a chart” in seconds directly within PowerPoint.

In the next 2 years, our goal at company is to forever change the way business presentations are made.

Who are we?

• small, strong team of 5
• founders are CS graduates from IIT Kharagpur with a specialisation in AI
• work 6 days a week from our office in HSR Layout in Bangalore
• funded by Y Combinator and other amazing investors
• used by consulting companies and Fortune 500 teams

Your responsibilities (in order)

• Design, implement, test, and deploy full features
• Design and implement a robust infrastructure to enable rapid development and automated testing
• Look at usage data to iterate on features

What we’re looking for

• Undergraduate or master's in Computer Science or equivalent degree
• 2+ years of backend or DevOps software engineering experience
• Experience with TypeScript (JavaScript) or Python

You’ll be a good fit if

• You want to work on a product that can change the way a very large number of people work
• The chaos of high growth and things breaking is exciting to you
• You are a workaholic, looking to upskill faster than most people think is possible. This role is not a good fit for you if you’re looking to prioritise work-life balance.
• You prefer working in-person with other smart people who are excited and passionate about what they’re building
• You love solving very hard problems at a rapid pace. We discuss timelines in days or weeks, so you’ll constantly be expected to ship really high-quality work.

Perks

• Comprehensive health insurance for you and dependents
• Workstation enhancements
• Subscriptions to AI tools such as Cursor, ChatGPT, etc.

(If there's anything else we can do to make your work more enjoyable, just ask)

If you are interested in proceeding, we would be happy to move your profile to the next stage of the evaluation process.

Kindly share the following details to help us take this forward :

• Current CTC (Fixed + Variable):
• Expected CTC:
• Notice Period (If currently serving, please mention your Last Working Day)
• Details of any active offers in hand (if applicable)
• Expected/Available Date of Joining (if applicable)
• Attach Updated CV:
• Attach Github Link / Leet code link or other:
• Current Location:
• Preffered Location:
• Reason for job Change:
• Reason for relocation (if applicable):
• Are you comfortable with 6 days wfo (flexible working hours)?( Yes / No):
• 
  

EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.

Prerequisites:

- Experience: 5 years of experience in Social Media Department and 2 years as social media manager

- Skills: Proficient in Social Media Marketing, Digital Marketing, and Social Media Optimization (SMO).

- Content Strategy: Strong experience in strategizing content for social media and developing content calendars.

- Analytical Skills : Ability to analyze social media metrics and insights to improve performance.

- Creativity: Excellent creative thinking and problem-solving abilities.

- Organizational Skills: Strong organizational and time management skills to manage multiple campaigns and projects simultaneously.

- Leadership: Proven leadership experience in managing and mentoring a team of junior managers and executives

- Qualifications: Bachelor’s degree in Marketing, Communications, or a related field.

Key Responsibilities:

Social Media Strategy & Execution:

- Develop and implement comprehensive social media strategies aligned with the brand’s objectives.

- Strategize content for the upcoming month, considering key themes, seasonal trends, and campaigns.

- Oversee the creation and execution of content calendars, ensuring timely delivery and relevance across platforms.

Team Management:

- Supervise, guide, and mentor junior social media managers, ensuring successful campaign execution.

- Coordinate team efforts to ensure smooth day-to-day execution of social media tasks and initiatives.

-

 Brand Partnerships & Collaboration:

- Manage brand tie-ups, collaborations, and influencer partnerships to increase brand visibility and engagement.

- Ensure effective communication and coordination between internal teams and external stakeholders for seamless campaign execution.

Content Creation & Planning:

- Collaborate with the creative team to create compelling content that resonates with the target audience and aligns with the brand’s voice.

- Oversee the development of monthly content calendars and ensure all content is on-brand, consistent, and engaging.

Paid Campaigns & Reporting:

- Oversee and optimize paid campaigns across Meta and Google Ads, ensuring cost-effectiveness and maximum performance.

- Track campaign metrics such as engagement, reach, conversions, and ROI, providing detailed reports and actionable insights for improvement.

Social Media Optimization (SMO):

- Implement best practices for Social Media Optimization to improve organic engagement and visibility.

- Continuously optimize content for performance across various social media platforms.

Miscellaneous Tasks:

- Travel for shoots and other brand-related activities as required.

- Perform miscellaneous tasks as assigned by management to support the growth of the social media strategy.

Job Title: Lead Data Architect (AI & Cloud)

Company: Risosu Consulting

About the Role

Risosu Consulting is hiring a Lead Data Architect / Crew Manager for one of our global clients in the Cloud, Data & AI space. This role focuses on designing scalable data architectures and driving AI-led transformation across modern cloud platforms.

Key Responsibilities

• Design data strategies, architectures, and scalable cloud solutions
• Build and optimize data pipelines, data lakes, and warehouses
• Collaborate with cross-functional teams to enable AI/ML use cases
• Lead client engagements and translate business needs into data solutions
• Mentor and manage a team of consultants as a Crew Manager

Requirements

• 5+ years of experience in Data Architecture / Engineering
• Strong expertise in cloud platforms (GCP/AWS/Azure)
• Experience with data modeling, ETL, and data governance
• Exposure to tools like BigQuery, dbt, Airbyte, or Power BI
• Strong communication skills and stakeholder management

Why Join via Risosu?

• Opportunity to work on high-impact global projects
• Fast-growing, entrepreneurial environment
• Clear growth path with learning & certification support
• Work with cutting-edge Cloud, Data & AI technologies

If you’re passionate about building scalable data systems and leading teams, let’s connect.

Job Title: Data Architect – AI/ML (Travel Domain)

We’re hiring a Data Architect to build and scale data systems powering AI/ML solutions in the travel domain. In this role, you will design data lakes/warehouses, create robust ETL pipelines, and enable real-time analytics for flight, hotel, and booking platforms. You will work closely with data scientists and engineering teams to support personalization, pricing, and recommendation engines.

Key Requirements:

• 5+ years in data architecture / engineering
• Strong experience with AWS/GCP/Azure and big data tools
• Expertise in ETL, data modeling, and pipeline design
• Good understanding of ML data workflows
• Experience in travel, e-commerce, or high-volume platforms is a plus

If you’re passionate about building scalable data ecosystems and driving AI-led innovation, we’d love to connect.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

About the Role

We're seeking a Project Manager – Generative AI Specialist who lives and breathes AI. This role is perfect for someone who leverages tools like ChatGPT, Claude, or similar daily to enhance their work, streamline workflows, and create innovative solutions. You’ll lead cutting-edge GenAI projects, collaborating with diverse teams to deliver impactful results. Your expertise in prompt engineering, workflow optimization, and running GenAI projects will make you a vital contributor to our mission of transforming businesses through AI.

Responsibilities

Lead GenAI Projects

• Take end-to-end ownership of Generative AI projects, ensuring successful delivery aligned with business goals.
• Develop project plans covering timelines, milestones, and resource allocation, and adapt as needed to achieve objectives.

Hands-On AI Expertise

• Actively use Generative AI tools for day-to-day tasks, demonstrating how these tools can optimize processes and workflows.
• Build automations or implement AI-based solutions that address specific business or technical challenges.
• Apply advanced prompt engineering techniques to achieve desired results from LLMs.

Collaboration & Business Analysis

• Work with clients, stakeholders, and technical teams to gather, validate, and document requirements.
• Translate business needs into actionable functional and technical specifications.
• Conduct market research and competitive analysis to inform product strategy and roadmap development.

Innovation & Optimization

• Continuously explore, experiment, and recommend AI tools, frameworks, and methodologies to optimize project workflows.
• Define and prioritize product features, aligning them with business value and customer feedback.

Communication & Documentation

• Prepare and deliver project documentation, including requirements, specifications, and status updates.
• Present project updates and findings to stakeholders and senior management clearly and effectively.

Requirements

GenAI Enthusiast

• Extensive experience using Generative AI tools (e.g., ChatGPT, Claude, etc.) for automations, workflow optimization, and creative problem-solving.
• Deep understanding of prompt engineering and optimizing interactions with LLMs to achieve desired outcomes.

Leadership & Project Management

• Proven experience leading AI-driven projects, from inception to deployment.
• Strong understanding of project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, Trello).

Technical & Analytical Skills

• Ability to bridge business needs with technical implementation, ensuring seamless execution.
• Familiarity with Generative AI APIs (e.g., OpenAI, Hugging Face) and their integrations into projects.

Communication & Adaptability

• Exceptional written and verbal communication skills for effectively collaborating with technical and non-technical teams.
• Highly adaptable to working in hybrid and fast-paced environments, juggling multiple priorities with ease.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Business Administration, or related fields.
• 8+ years of experience in project management, product management, or a similar role, ideally in AI or technology-focused environments.

Write to Us If:

• You use GenAI tools daily and can share examples of how they’ve helped you optimize your workflows or build automations.
• You have hands-on experience managing Generative AI projects and can demonstrate your ability to turn ideas into impactful solutions.
• You are well-versed in prompt engineering and can effectively manipulate LLMs to perform as needed.
• You thrive in a role where you can combine business analysis with technical implementation to deliver value-driven outcomes.
• You are detail-oriented, self-motivated, and passionate about staying ahead in the AI space.

This is your opportunity to lead innovative projects in the fast-evolving world of Generative AI while leveraging your expertise to make a real impact. If you're ready to take on this exciting challenge, we’d love to hear from you!

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

About the Company:

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

About the Role:

We are seeking a highly skilled Technical Lead – AI who combines deep technical expertise in AI/ML with strong leadership capabilities. The ideal candidate will be responsible for designing AI architectures, leading development teams, and ensuring the successful implementation of AI-driven solutions. This role requires a hands-on technical leader who can guide engineers, solve complex AI problems, and collaborate with cross-functional teams to translate business needs into innovative AI solutions.

Responsibilities:

Technical Leadership:

• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Conduct architecture reviews, code reviews, and technical evaluations.
• Ensure adoption of best practices in AI model development, testing, and deployment.

AI Solution Development:

• Design and implement machine learning, deep learning, and generative AI models.
• Develop AI-powered solutions such as chatbots, recommendation engines, NLP systems, and predictive analytics models.
• Work on LLM-based applications, prompt engineering, and AI workflow automation.
• Build scalable AI APIs and production-ready AI systems.

Innovation & Research:

• Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
• Evaluate new tools, frameworks, and technologies to enhance AI capabilities within the organization.
• Contribute to internal AI initiatives and innovation projects.

Required Qualifications:

• 6–8 years of experience in Artificial Intelligence, Machine Learning, or Data Science.
• At least 2 years of experience in a technical leadership or senior engineering role.
• Proven experience building production-level AI applications.

Required Skills:

• Strong programming experience in Python.
• Hands-on experience with Machine Learning frameworks such as, TensorFlow, PyTorch, Scikit-learn
• Experience working with Generative AI and Large Language Models (LLMs), LangChain, Llama Index, or similar AI orchestration frameworks.
• Strong knowledge of Natural Language Processing (NLP).
• Experience building AI APIs and integrating AI into applications.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Hands on knowledge of Full Stack Development.

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

Job Title: Data Analyst (AI/ML Exposure)

Experience: 1–3 Years

Location: Mumbai

Job Description:

We are looking for a Data Analyst with strong experience in data handling, analysis, and visualization, along with exposure to AI/ML concepts. The role involves working with structured and unstructured data (SQL, CSV, JSON), building data pipelines, performing EDA, and deriving actionable insights. Candidates should have hands-on experience with Python (Pandas, NumPy), data visualization tools, and basic knowledge of NLP/LLMs. Exposure to APIs, data-driven applications, and client interaction will be an added advantage.

Skills Required: Python, SQL, Data Analysis, EDA, Visualization, APIs

Apply: Share your resume or connect with us.

Job Title: AI Full Stack Developer

Experience: 4–6 Years

Location: Mumbai / Bengaluru

Job Description:

We are hiring an AI-focused Full Stack Developer with strong experience in Python, React/Next.js, and cloud platforms. The role involves working on LLM integrations (OpenAI/Anthropic), prompt engineering, and building AI-driven workflows such as RAG and agent-based systems. Candidates should have hands-on experience with AWS (Lambda, S3, DynamoDB), API integrations, and end-to-end development. Exposure to async processing (Celery/Redis) and modern frontend frameworks is a plus.

Skills Required: Python, React/Next.js, AWS, APIs, LLMs

Apply: Share your resume or connect with us.

Job Title: AI & Product Engineering Intern

Company: Optimo Capital (Nipun Projects and Finance Pvt. Ltd.) Location: Bengaluru, Karnataka (On-site / Hybrid) Duration: 4–6 months | Immediate / Rolling start Stipend: Based on profile

About Optimo Capital

Optimo Capital is an RBI-registered NBFC and India's first phygital Loan Against Property lender. We serve MSME business owners across 5 states, offering loans of ₹10L–₹2Cr with 4-day disbursal. Our tech team is actively building AI systems that redefine how lending operations work — from smart underwriting to autonomous calling agents to document intelligence and real-time property valuation.

What You'll Work On

You will be embedded in an early-stage fintech team working hands-on to make AI systems actually work in the real world — not in theory, not in demos, but in production. This means getting deep into existing projects — an autonomous AI calling system, an intelligent document extraction pipeline, and agentic AI frameworks — running experiments, figuring out what works and what doesn't, and iterating fast until it does.

Expect a lot of trial and error. Expect to think from first principles. Expect to question assumptions and find creative solutions to problems that don't have a textbook answer. The job is as much about curiosity and persistence as it is about technical skill.

Beyond the engineering, you will also be expected to think like a product person — understanding the business impact of what you build, owning parts of the product, and connecting the dots between what the AI does and why it matters to the business.

What We're Looking For

• Person with fundamental thinking in problem solving Currently pursuing or recently completed a degree in Computer Science, Mathematics, Statistics, or Engineering
• Solid programming fundamentals — Python, NodeJS etc and ability to learn new language if required
• Has shipped something: Internship, a project, a GitHub repo, a hackathon submission, or a research prototype that demonstrates end-to-end thinking
• Understands software systems beyond just writing code — APIs, data flows, system design at a basic level
• Can articulate the product reason behind technical decisions — not just "how" but "why"
• Comfortable working in ambiguity and taking ownership of open-ended problems

What Makes a Great Fit

We're looking for someone who reads about AI systems on weekends not because they have to, but because they're genuinely curious. You should be the kind of person who, when given a problem, immediately starts thinking about the product experience and the architecture simultaneously — and can hold both in your head at once. If you've built an LLM-powered tool, integrated a voice API, parsed messy documents, or simply gone deep on understanding how modern AI systems work under the hood — we'd love to talk.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

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

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

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

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Marketing Assistant @Knacklabs

Hyderabad | Full-time | 0-1 years

You don't need an AI degree. You need to be obsessed.

We build AI agents that run inside enterprises the kind that actually work, not the kind that demo well and break in production.

GraphRAG, Voice Agents, autonomous workflows. The real stuff.

Now we need someone to tell that story.

The Role: You'll be our first marketing hire.

No "assist the senior marketing manager" energy there is no senior marketing manager. It's you, a Canva account, ChatGPT, and a mandate to make KnackLabs impossible to ignore.

What you'll actually do:

• Run meetups & events organize AI/tech community events in Hyderabad. Real humans, real conversations, real brand.

• Own LinkedIn outreach craft lead messages that don't read like spam. Build campaigns that open doors to enterprise decision-makers.

• Create content that educates LinkedIn posts, Instagram reels, carousels. Not "AI is transforming the world" fluff. Actual insight. Stuff engineers respect.

• Build our brand from zero to "oh yeah, the AI agents company." That's the job.

Who you are:

• Fresh out of college (or close). No experience required. Hunger required.

• You live on social media and understand what makes people stop scrolling

• You write "people actually read it" well, not just "good grammar" well

• You already use AI tools daily ChatGPT, Claude, Midjourney, whatever. If you haven't touched them, this isn't the role

• You're not waiting for instructions. You're three ideas ahead

You'll love this if:

• You notice good branding instantly

• You want to work close to real AI builders, not just post recycled trends • You want your first job to actually be interesting

Why this is a cheat code:

Most freshers learn about AI from courses.

You'll learn it by marketing it sitting with engineers building agents, attending enterprise demos, writing about tech that's 18 months ahead of the market.

✨ Join us to build, break, and innovate AI systems that redefine what’s possible.

Job Title : Azure Data Scientist (AI/ML)

Experience : 5 to 10 Years

Location : Bengaluru

Work Mode : Hybrid (4 Days WFO, Tue to Fri – Non-Negotiable)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a highly skilled Azure Data Scientist with strong expertise in AI/ML, Python, and cloud-based data platforms. The role involves building scalable ML solutions, working on GenAI & RAG use cases, and delivering business impact through data-driven insights.

🔥 Mandatory Skills :

Python, Azure Machine Learning, Databricks, AI/ML model development (5+ yrs), Statistics & Probability, EDA & Data Modeling, Machine Learning algorithms, GenAI/RAG experience

✅ Key Responsibilities :

• Design, develop, and deploy AI/ML models to solve complex business problems
• Perform Exploratory Data Analysis (EDA) for data cleaning, discovery, and insights
• Build and optimize ML pipelines using Azure Machine Learning & Databricks
• Work on GenAI applications, RAG implementations, and advanced analytics solutions
• Collaborate with data engineers, business stakeholders, and domain experts
• Translate complex data into actionable business insights
• Manage model lifecycle (development, validation, deployment, monitoring)
• Communicate model outputs and insights to technical & non-technical stakeholders
• Drive innovation and contribute to AI/ML best practices and strategy

🧠 Required Skills (Must Have) :

• Strong experience in Python (ML/AI development)
• Hands-on with Azure Machine Learning & Databricks
• Deep understanding of Mathematics, Probability, and Statistics
• Expertise in Machine Learning & Data Science methodologies
• Experience in EDA, data visualization, and model development
• Exposure to GenAI, RAG, and ML application development
• Minimum 5+ years of experience in AI/ML model development
• Strong problem-solving and analytical skills

➕ Good to Have :

• Experience with MLOps practices
• Domain knowledge in Energy / Oil & Gas value chain
• Experience in data visualization tools
• Team collaboration or mentoring experience

🤝 What We’re Looking For :

• Strong communication & stakeholder management skills
• Ability to work in a cross-functional, global team environment
• Self-driven, adaptable, and innovation-focused mindset

📝 Interview Process :

1. Geektrust Assessment (Assemble)
2. Technical Interview
3. Fitment Round
4. Client Round

Python Developer (Performance Optimization Focus)

Experience: 3–5 Years

Location: Remote (India-based candidates only)

Employment Type: Full-time

Role Overview

We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.

Key Responsibilities

• Analyze and troubleshoot performance bottlenecks in applications and systems
• Optimize code, database queries, and architecture for scalability and speed
• Design, develop, test, and maintain robust Python applications
• Work with large datasets and improve data processing efficiency
• Collaborate with cross-functional teams to improve system reliability and performance
• Monitor system performance and implement proactive improvements
• Write clean, maintainable, and efficient code following best practices

Required Skills & Qualifications

• 3–5 years of hands-on experience in Python development
• Strong expertise in performance tuning and optimization techniques
• Experience with debugging and profiling tools
• Solid understanding of data structures and algorithms
• Experience with REST APIs and backend development
• Strong analytical and problem-solving skills

Linux & System Knowledge (Must-Have)

• Comfortable working in Linux/Unix environments
• Command-line proficiency, including:
• File editing (vi, nano)
• File permissions (chmod, chown)
• File downloads (wget, curl)
• Basic file and directory operations

Basic Python Knowledge (Interview Scope)

• Writing simple scripts and reusable functions
• String manipulation and data handling
• Example task: Count words in a file/string efficiently

Good to Have

• Familiarity with AI/ML concepts or tools
• Experience optimizing data-intensive or distributed systems
• Exposure to cloud platforms (AWS, GCP, Azure)

Why Join Us

• Work on performance-critical systems with real-world impact
• Fully remote work environment
• Opportunity to work with modern, scalable technologies
• Collaborative, growth-focused team culture

We are looking for a trainer to deliver an advanced AI Training for Oracle Services, specifically leveraging the licensed tool Claude.

The scope of the training should cover the following topics:

• EBS Form Designing using AI
• APEX Form Designing using AI
• Report Generation (.rdf, Fusion BIP) using AI
• Report Bursting using AI
• PaaS/VBCS Form Personalization using AI tools
• Fusion Form Customization using Groovy Script and AI
• EBS to Fusion Form Conversion
• APEX to Fusion Form Conversion

The expected number of participants is 15, and the training is preferred to be conducted offline.

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python

Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.

Responsibilities:

• Develop and maintain web apps using Python, TypeScript, and Node.js.
• Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
• Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
• Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
• Write and run tests for application and infrastructure code.
• Collaborate effectively using online communication tools (Slack, Teams, Zoom).
• Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

• 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
• Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
• Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
• Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
• Conversational English (written, verbal, listening).

Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.

Job Types: Full-time, Permanent

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.

Responsibilities:

• Develop and deploy data-driven solutions for energy and power market applications.
• Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.).
• Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling.
• Design and build scalable pipelines for training, testing, and deploying models.
• Communicate complex ideas effectively to both technical and non-technical stakeholders.
• Collaborate across teams to drive product development and ensure impactful outcomes.

Expectations:

• Ability to move from broad vision to technical solutions.
• Ownership mindset: accountability for effort and outcomes.
• Integrity, transparency, and teamwork. Requirements:
• Strong analytical skills with a data-driven and scientific approach.
• Proficiency in Python, capable of handling both structured and unstructured data.
• Prior experience (industry or academia) building machine learning or deep learning based AI solutions.
• Prior experience in LLM & GenAI is a plus.

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases.