5,918 AI & Emerging Technologies jobs in India

Role : Senior AI/ML Engineer

Experience : 4 - 8 years

Location: Chennai/Hyderabad

Work Mode: WFO (all 5 days)

*Only candidates from product companies are preferred*

About the client:

Join a fast-growing global product company that's redefining life sciences with AI-driven innovation. Their platforms power top pharma firms in 30+ countries—ensuring safety, speed, and compliance. From Gen AI to predictive systems, the Chennai tech hub is building cutting-edge solutions that matter. If you're ready to apply AI where it truly impacts lives, this is your opportunity.

Job Description:

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role.

Roles & Responsibilities:

• Design, implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction.
• Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency.
• Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.
• Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
• Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry.
• Mentor junior engineers, fostering a culture of continuous learning and improvement.

Required Skills:

• Experience in the life science domain or a related field is preferable
• A minimum of 4-8 years experience in AI/ML engineering, with a track record of handling increasingly complex projects.
• Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
• Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
• Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
• Strong programming skills in Python, Scala, Go, Rust or other languages.
• Excellent written and verbal communication skills and interpersonal skills.
• Experience with ML Ops platforms, such as Kubeflow or ML Flow.
• Experience with ML frameworks, such as scikit-learn, Tensor flow, PyTorch.
• Experience with Gen AI tools, such as Lang chain, Llama Index, and open-source Vector Dbs.'
• Advanced degree in Computer Science, Machine Learning or related field.

If you are ready create an impact and feel this is the right opportunity for you, then write to me at and let's connect!

AI Engineer (Full Stack + DevOps + AI Integration)

Experience Level: 1–2 years

We are looking for a junior AI Engineer with 1–2 years of experience who is eager to grow in the space of AI-assisted development . The ideal candidate should have a Full Stack engineering background with strong DevOps exposure , practical experience with LLM-based applications , and familiarity with automation tools. This role is best suited for someone who has experimented with AI tools like Codex/Clause Code in their development work and wants to build scalable AI-powered applications.

• AI-Assisted Development
• Use Clause Code, Codex, or other AI copilots while building applications.
• Implement RAG (Retrieval Augmented Generation) pipelines and work with MCP (Model Context Protocol) for AI integrations.
• Work with APIs of popular LLMs (OpenAI, Anthropic, etc.) to integrate AI features into applications.
• Full Stack Development
• Build and maintain web applications (frontend & backend).
• Work with databases, APIs, and cloud services to deliver end-to-end solutions.
• Contribute to creating responsive and AI-driven user experiences.
• DevOps & Infrastructure
• Support deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure) .
• Learn and contribute to infrastructure automation (Terraform, Pulumi).
• Assist in monitoring and scaling applications .
• Automation & Workflow Tools
• Work with n8n, Make.com, Zapier, or similar automation platforms .
• Build simple automation flows to integrate services and reduce manual tasks.
• Collaboration & Learning
• Work closely with senior engineers and product teams to deliver features.
• Document learnings, experiments, and best practices.
• Stay updated with emerging AI tools and frameworks .

• 1–2 years of experience in software development / full stack engineering .
• Basic working knowledge of DevOps practices (CI/CD, Docker, cloud deployments).
• Exposure to LLM-based development and tools such as Codex, Clause Code, or GitHub Copilot.
• Familiarity with RAG pipelines, MCP integrations , and vector databases (Pinecone, FAISS, Weaviate).
• Hands-on experience with at least one automation tool (n8n, Make.com, Zapier).
• Strong problem-solving skills and ability to work independently with AI assistance .

• Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks .
• Experience in deploying AI-powered applications in production.
• Contributions to AI/DevOps-related projects (personal or professional).

• Opportunity to work on real-world AI-first projects with mentorship.
• Hands-on exposure to cutting-edge AI tools and automation workflows .
• A growth-oriented environment with scope to advance into AI Architect / Lead Engineer roles .
• Competitive salary package with performance-based growth.

About Tavant:

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We’ll create a world of opportunities for you.

Job Title – AI Architect

Work Experience – 8 to 14 Years

Work Location – Noida/Bangalore/Pune/Hyderabad/Kolkata

Key Responsibilities

• Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
• Team Enablement and Collaboration: Work closely with various project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
• Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
• Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
• Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.

Skills and Qualifications:-

• 8-14 years of experience in software development, with proven experience as a Technical Lead/Architect or a similar senior engineering role.
• Demonstrated experience in designing, architecting, and building scalable, large-scale enterprise applications from the ground up.
• Strong hands-on experience with Generative AI technologies, including LLMs (e.g., GPT series, Claude, Llama, Mistral), vector databases, and embedding models.
• Demonstrated expertise in building and implementing RAG architectures.
• Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
• Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
• Deep understanding of the entire SDLC and agile methodologies.
• Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
• Strong communication skills to effectively collaborate with diverse technical teams.

Job Description :

AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities.

Skills: Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing

I hope you're doing well! I came across your profile and was impressed by your extensive experience as an/a (mention role/skill). We have a similar opportunity to join our dynamic team at TCS.

Role: SR AI Consultant

Location: Pan India

Mode: Full Time

Required Technical Skill Set

Proficient in Python, API development, Knowledge on cloud technologies (Say Azure/GCP/AWS services). Experienced with CrewAI or comparable technologies, Langchain, Cloud platform solutions, Vector databases, and the application of established software design patterns.

Must-Have

• Python, API development, Cloud services, Machine Learning, Langchain, Vector databases
• Experience in Azure Machine Learning or Vertex AI or SageMaker to build and train models
• Strong experience with Generative AI/LLMs
• Knowledge on document processing using Document Intelligence or DocumentAPI or similar tools
• Computer Vision : Image classification using Azure Cognitive services or other similar services
• Design and Build Conversational Bots
• Familiarity with Agentic AI frameworks
• Knowledge of cloud platforms (Azure) and AI model deployment
• A comprehensive understanding of prompt engineering is essential for crafting effective prompts and applying advanced prompt engineering techniques.
• Demonstrated experience in Retrieval-Augmented Generation (RAG) and proficiency with vector databases.
• Responsible AI principles
• Proficient in utilizing coding assistants to enhance development efficiency.

Good-to-Have

Ability to scaleup to work on any cloud technologies on GenAI projects quickly

MLOps Practices

Next.js with TypeScript, TailwindCSS

Node.js

CrewAI or similar

About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their services—ranging from telecalling to sales and support—leverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries.

Job Description: AI Implementation / Product Manager

Location: Sec 3, Noida

Experience: 2-5 Years

Qualification: (Preferred) Background in Computer Science, Engineering, or equivalent technical experience

About the role: As an AI Implementation or AI Product Manager at Company, you’ll own each stage of the AI Agent building and deployment process for the largest consumer enterprises, including Tata, Axis, Bajaj, IndiaMart, Justdial, PhonePe, Zepto, Kotak, and more.

You’ll work directly with VP and C-level executives to shape their AI roadmap, write and test prompt logic for high-impact use cases, and collaborate with engineering to design new product features.

This is a role for someone who thrives on diving deep into complex business problems, crafting elegant AI-driven solutions, and scaling them to millions of users.

Responsibilities:

• Lead the deployment of Company’s Voice AI Agents for some of the largest consumer enterprises globally, ensuring AI agents become mission-critical to how millions of customers are engaged.
• Design and optimize enterprise-grade agents by mapping business workflows, writing and testing prompt logic, and collaborating with engineering to deliver precise, scalable solutions that handle thousands of conversations daily.
• Engage deeply with customers, from discovering requirements and demonstrating solutions, to addressing technical challenges, and tailoring agents to their business processes.
• Act as a trusted partner to VP and C-level executives, guiding their AI roadmap, aligning deployments with strategic goals, and ensuring measurable impact on revenue, efficiency, and customer experience.
• Own a portfolio of enterprise deployments end-to-end, driving adoption, expansion, and long-term success by partnering closely with internal teams and customer stakeholders.
• Run high-velocity feedback loops into Product and Engineering, channeling real-world insights to shape the roadmap, resolve friction, and accelerate adoption at scale.
• Be a builder at heart, diving deep into complex problems, crafting elegant AI-driven solutions, and scaling them into millions of consumer interactions every month.

Requirements:

• 2–5 years of relevant experience in AI Implementation, Product Management, Strategy Consulting, or Solutions Engineering ideally in AI solution companies or adjacent domains.
• Strong technical acumen with the ability to understand and shape AI agent design & prompt writing
• Excellent communication and relationship-building skills, comfortable engaging with executive stakeholders.
• Ability to thrive in fast-moving, ambiguous environments where you help shape solutions as much as you deliver them.

#AIProductManager #ConversationalAI #AIImplementation #LLMEngineer

Company Description

Thrifty AI is India’s first provider of agentic AI humans designed to revolutionize customer engagement. Our advanced AI solutions offer unparalleled interaction capabilities, enabling businesses to enhance their customer service experience effectively. Join us in transforming how interactions are conducted with our cutting-edge technology.

Role Description

This is a full-time on-site role located in Noida for an Artificial Intelligence Engineer with 2-3+ years of experience. We’re looking for a passionate AI/ML Engineer with strong expertise in Large Language Models (LLMs) and Conversational AI. The ideal candidate thrives at the intersection of deep learning, NLP, and generative AI, with a proven ability to design, fine-tune, and deploy cutting-edge models into real-world applications. The role involves collaborating with cross-functional teams to integrate AI solutions into various applications and systems.

Key Responsibilities:

1. LLM Development & Customization

• Design, train, fine-tune, and optimize LLMs for conversational AI & digital humans.
• Implement RAG pipelines & domain-specific adaptations.
• Ensure scalability, latency, and reliability of deployed models.

2. Conversational AI Engineering

• Build next-gen conversational systems powered by LLMs and NLP.
• Integrate multi-modal capabilities (voice, facial expressions, gestures).

3. Integration & Deployment

• Collaborate with product, design, and engineering teams for enterprise-grade AI solutions.
• Deploy scalable AI applications across web, mobile, and avatar platforms.

4. User Experience & Personalization

• Architect human-like conversational flows aligned with business objectives.
• Continuously improve empathy, personalization, and contextual accuracy.

5.Metrics & Analytics

• Define & track KPIs (BLEU, ROUGE, perplexity, engagement rates).
• Use analytics and feedback loops to refine AI solutions.

6.Research & Innovation

• Stay ahead of trends in LLMs, NLP, and GenAI.
• Experiment with emerging architectures & multi-agent systems.
• Contribute to Thrifty’s innovation roadmap for digital humans.

Must-Have Skills::

• Expertise in LLMs & Transformer Architectures (GPT, BERT, T5, LLaMA, etc.)
• Hands-on with GenAI frameworks & APIs (Hugging Face, LangChain, RAG, OpenAI APIs).
• Knowledge of vector databases (Pinecone, FAISS, Milvus).
• Strong NLP foundations : embeddings, intent/entity recognition, sentiment/emotion analysis.
• Proven experience in dialogue management & conversational flows .
• Proficiency in Python and one additional language (Java/C++).
• Experience with TensorFlow, PyTorch, Keras .
• Ability to build scalable APIs & microservices .
• Familiarity with LLM evaluation metrics & optimization techniques .

Good-to-Have Skills:

• Experience with multi-modal AI (speech-to-text, text-to-video, avatars).
• Cloud deployment (AWS, Azure, GCP).
• Git/GitHub & CI/CD pipelines.
• Understanding of AI ethics, data privacy & responsible AI practices .
• Knowledge of cybersecurity principles .

Perks & Benefits:

• Employee Stock Options (ESOPs) – Be a true stakeholder in our journey.
• Innovative Startup Culture – Fast-paced, creative, and collaborative.
• Passionate Team Spirit – Work with pioneers shaping the future of AI.
• Career Growth Opportunities – Exposure to leadership & mentorship.
• Learning Budget – Courses, certifications, and skill-building support.
• Global Exposure – Represent us at top AI conferences & meetups worldwide.
• Cutting-Edge Tech Stack – Work hands-on with the latest AI/ML tools.
• Generous Leave Policy – Paid time off, sick leave, festival holidays.
• Recognition & Rewards – Bonuses for milestones & innovation.
• Team Offsites & Retreats – Hackathons, outings & bonding activities.
• Work-from-Home Friendly – Flexibility for balance & productivity.

About the Role

We’re looking for a passionate and experienced AI Faculty Member to join our growing EdTech team. This is an exciting opportunity for professionals who enjoy teaching, mentoring, and making complex AI concepts accessible and relevant to business contexts. You’ll deliver engaging live online sessions on weekends, helping adult learners and working professionals master the real-world application of Data Science and Artificial Intelligence.

What You’ll Do

• Deliver engaging live online classes (via Zoom) on core AI and Data Science topics, including but not limited to:
• Data Analytics & Visualization
• Machine Learning & Deep Learning
• Generative AI & Agentic AI Systems
• Natural Language Processing (NLP)
• Computer Vision
• AI Strategy & Business Use-Cases
• AI Ethics & Responsible AI
• AI in Digital Transformation
• Data-Driven Decision Making
• Design and teach lessons that are practical, application-focused, and tailored to business relevance.
• Incorporate real-world case studies and examples to demonstrate the integration of AI into various industries and functions.
• Encourage active learning through discussions, hands-on activities, and project work.
• Mentor learners , supporting them with project guidance, assignment feedback, and doubt-clearing sessions.
• Collaborate with academic and operations teams to ensure smooth delivery and an excellent learner experience.
• Stay current with AI trends , tools, and industry applications to bring the latest insights to your teaching.

What You Bring

• 7+ years of experience in the AI, Machine Learning, or Data Science space (industry or academic).
• 2+ years of experience teaching online , preferably to adult learners or business professionals.
• Strong grasp of both technical depth and business application —you can teach concepts like neural networks and also explain how AI drives business transformation.
• Excellent communication and storytelling skills , with the ability to simplify complex topics.
• Hands-on experience with tools such as Python, Jupyter Notebooks, TensorFlow or PyTorch, Tableau/Power BI, and Git.
• Understanding of AI’s strategic role in automation, decision-making, and innovation across industries.
• Genuine passion for teaching , mentoring, and creating meaningful learning experiences.

Bonus Points For

• Experience mentoring capstone or industry projects .
• Exposure to Generative AI, Agentic AI frameworks , or LLM-based systems .
• A portfolio of past workshops, content, or instructional material .
• Experience in curriculum design and learner assessments .

What We Offer

• A flexible remote opportunity to share your expertise with a community of motivated learners.
• Competitive compensation , aligned with experience and session hours.
• Opportunity to co-create and shape curriculum in a fast-evolving AI learning space.
• Be part of a forward-thinking, impact-driven EdTech ecosystem .

Job Description

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Usecase derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills

Develop Cloud based applictions including LLM/GenAI and deploy them into production.