700 Artificial Intelligence jobs in Chennai

An excellent opportunity for AI Engineers to join our team.

Welcome to WhiteBlue!

We are an exclusive cloud services company, transforming the world with digital technology. We excel in serving the customers with the right experienced, certified professional cloud talent. We are passionate about creating world class human capital which has Hands-on Cloud experience to build, migrate and support complex Cloud environments. We are keen in providing tailored services and solutions for each customer. We measure our success based on the business outcomes we deliver.

What Are We?

We are a pioneering AI-native enterprise transformation company, revolutionizing businesses through intelligent automation and data-driven innovation. We specialize in deploying experienced, certified AI and cloud professionals who architect scalable AI-first solutions using cutting-edge technologies like Retrieval-Augmented Generation (RAG), agentic automation, and modern infrastructure frameworks. We are passionate about building world-class AI capabilities that enable enterprises to harness autonomous intelligent systems for complex business operations. We focus on delivering bespoke AI modernization strategies and intelligent solutions tailored to each organization's unique digital transformation journey. Our success is measured by the tangible AI-driven business outcomes and operational intelligence we deliver to our clients

Job Description:

• 3+ years of experience in C# and .NET Core
• Must have at least 6 months of recent experience in developing AI Agents using Semantic Kernel
• Excellent knowledge in C#
• Good knowledge in Generative AI and LLM (Azure OpenAI preferred)
• Good knowledge in Semantic Kernel and the different Agent orchestration patterns available
• Good knowledge in Agentic AI concepts
• High level awareness of various AI related services available on Azure
• Knowledge in Copilot Studio would be added advantage
• Having Azure AI Engineer Associate certification (AI-102) would be added advantage

Location: Chennai

Job Type: Work From Office

Job Title: AI Intern

Company: Entrans & Thunai

Location: WFO

Job Description:

An AI intern assists in developing and implementing AI solutions, performing data analysis, and collaborating with experienced AI engineers and data scientists. The role may involve machine learning model development, natural language processing (NLP), computer vision, or other AI-related tasks.

Responsibilities:

1. AI Model Development: Assist in building and optimizing machine learning models. Prepare datasets by performing data cleaning and preprocessing.

2. Research and Data Analysis: Research new AI technologies and methodologies. Analyze and process large datasets to uncover meaningful insights.

3. Testing and Evaluation: Assist in testing models to ensure they function as expected. Identify and address potential issues.

4. Collaboration: Work with engineers, data scientists, and other teams to align AI solutions with project goals.

5. Documentation: Document AI experiments, code, and model architectures for future reference and reporting.

6. Language Models: In roles focused on generative AI, assist in designing and fine-tuning prompting strategies and orchestrating agent workflows.

Qualifications:

Technical Skills:

1. Education: Student or recent graduate in Computer Science, Data Science, Applied Mathematics, or a related field.

2. Programming: Proficiency in Python, with experience using libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.

3. Machine Learning: Solid understanding of ML concepts, algorithms, and neural networks.

4. Data Handling: Familiarity with data manipulation, cleaning, and preprocessing techniques.

5. Databases and Cloud Computing: Knowledge of SQL and experience with cloud platforms like AWS, Google Cloud, or Azure is a plus.

Soft Skills:

1. Problem-Solving and Critical Thinking: Ability to analyze problems and devise innovative solutions.

2. Communication: Strong verbal and written communication skills.

3. Teamwork and Collaboration: Ability to work well within cross-functional teams.

4. Adaptability and Curiosity: Strong desire to learn and keep up with a rapidly evolving field

Position Summary:

Knorr-Bremse, the global leader in braking systems and rail/vehicle safety solutions, is building its AI Center of Excellence in Chennai to accelerate innovation across its Rail and Truck business.

We are seeking a visionary Generative AI Scientist to act as the crucial bridge between complex business challenges and the frontiers of artificial intelligence. This is a role for a lead/senior applied scientist who not only understands the deep, foundational principles of AI but can also critically assess its practical limitations and business viability.

You will be responsible for the entire lifecycle of our most ambitious AI initiatives: from conducting feasibility studies on nascent business ideas to performing rigorous literature surveys (research papers, patents), proposing solutions, and justifying their value in concrete financial terms (OPEX/CAPEX). Crucially, you will determine not just what AI can do, but what it shouldn't do, guiding the company toward high-impact, achievable projects.

The ideal candidate combines the mind of a researcher with the pragmatism of a business strategist, capable of translating a business need into a technical hypothesis and owning the outcome from conception to post-deployment success.

Essential Functions:

• Translate Business Challenges into Viable AI Solutions: Lead feasibility studies for proposed AI applications (e.g., General & Administrative (G&A) work, Domain Specific Compliance Checks like mobility compliance adherence, AI application in manufacturing). Translate ambiguous business requirements into precise technical problems and hypotheses. Conduct comprehensive literature surveys, reviewing academic papers and patents to inform solution design and identify state-of-the-art approaches.
• Critically Assess AI Feasibility and Limitations: Serve as the expert on the practical boundaries of LLMs and Generative AI. Identify risks and clearly articulate what aspects of a problem are well-suited for current AI capabilities and which are not, preventing investment in unfeasible projects.
• Design Authority : Own end-to-end technical and process design for AI/ML and agentic AI solutions, ensuring alignment with business objectives and scalability across Knorr-Bremse’s global operations. Design and build proof-of-concept systems based on a first principles understanding of Advanced RAG, multi-agent architectures, and fine-tuning techniques. Develop rigorous evaluation frameworks to benchmark system performance against business-relevant metrics.
• Hands-on AI Development : Drive research and development in areas such as agentic AI frameworks, computer vision, multimodal learning, time-series optimization, and generative AI for embedded and industrial applications.
• Innovation & IP Creation : Develop cutting-edge algorithms, publish high-impact research, and contribute to patents/IP that strengthen Knorr-Bremse’s technological leadership.
• Mentorship & Team Leadership : Lead, mentor, and inspire a team of AI scientists and engineers; build a high-performance research culture that bridges academia and industry.
• Entrepreneurial Execution : Champion rapid prototyping, proof-of-concept development, and large-scale deployment of AI solutions in collaboration with cross-functional teams (R&D, IT, Cloud, Security, Business).
• Collaboration & Scaling : Work closely with internal stakeholders and technology partners (AWS, Microsoft, Google) to leverage multicloud AI stacks for scalable deployment.
• Governance & Best Practices : Establish standards for AI design, evaluation, and deployment, ensuring robust, ethical, and cost-efficient AI solutions.

Skills:

1. Technical & Scientific Skills:

• Foundational AI Expertise : Profound understanding of transformer architectures, attention mechanisms, and the theoretical underpinnings of LLMs.

• Critical Assessment of Model Capabilities : Deep, practical knowledge of the inherent limitations of LLMs (e.g., factual consistency, complex reasoning, susceptibility to hallucination, handling of structured data) to accurately determine problem feasibility.

• Expertise in RAG and Fine-Tuning : Mastery of the mechanics of RAG (dense/sparse retrieval, re-ranking) and various fine-tuning methods (PEFT, LoRA), including their theoretical trade-offs.
• Research Acumen : Proven ability to rapidly consume, critique, and synthesize information from academic papers and patents to inform practical solutions. Multiple patents, peer-reviewed publications.
• Strong Programming & Foundations : Python (Expert); strong grasp of algorithms and system design. Strong expertise in Agentic AI frameworks (Google ADK, MCP Agent, LangGraph, etc.) and LLM vendors (Azure OpenAI, Google Gemini, etc.). Proficiency in deep learning & ML frameworks (PyTorch, Scikit-learn, MLFlow, Vertex AI, Kubernetes).

1. Behavioral Competencies:

• Business Acumen & Pragmatism: A strong ability to connect technical possibilities with business value, balancing innovation with practical constraints, costs, and timelines.
• First-Principles Thinker: A deep-seated curiosity to understand *why* systems work and fail, enabling robust problem diagnosis and solution design.
• Intellectual Honesty: The confidence to advise against a project when the technology is not a good fit, and the ability to clearly articulate the risks and unknowns.
• Ownership Mentality: A proactive, accountable approach to the entire project lifecycle, from initial idea to long-term performance.
• Excellent Communication: Can articulate complex technical concepts, business justifications, and system limitations to audiences ranging from engineers to senior executives.

Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Knorr-Bremse AG.

Experience:

• Experience: 7-12 years of applied AI/ML research and development, with proven impact in industrial, mobility, or large-scale enterprise settings.
• Track record of patents, publications, or IP creation in AI/ML.
• Strong team leadership and mentoring experience.
• Entrepreneurial, innovative, and execution-focused mindset.
• Proven track record of leading AI projects from business concept to production.
• Demonstrable experience conducting feasibility studies and translating business requirements into technical AI roadmaps.

Education:

• Education: Master’s or PhD in Data Science, AI/ML, Operations Research, Computer Science, or related fields (IIT/IIM or equivalent preferred).

Position Requirements:

• Ability to travel up to 25% domestically and internationally.

What We Offer

• A unique opportunity to shape the future of AI in mobility and safety-critical systems, backed by a team that respects deep technical and strategic expertise.
• An innovation-driven environment with strong academic and industry collaboration.
• Exposure to global-scale AI projects spanning truck, rail, and industrial domains.
• Own the end-to-end lifecycle of AI initiatives, from initial business concept to tangible, value-driving deployment.
• Operate at the intersection of business strategy and deep technology, making critical decisions that shape our AI roadmap.
• Solve high-stakes problems in a research-driven environment that values intellectual honesty and pragmatic results.

We are looking for a skilled and motivated AI/ML/Agentic AI Developer to join our Software Product Team. The ideal candidate will be responsible for designing and implementing AI-driven solutions across various business use cases, with a focus on automation and intelligent decision-making using modern AI frameworks and models.

Responsibilities

• Analyze business processes and understand functional requirements for AI automation.
• Design, develop, and integrate AI and Agentic AI solutions with minimal external dependency.
• Build and fine-tune ML models for information extraction and related tasks.
• Collaborate with cross-functional teams to deploy solutions into production environments.
• Stay updated on emerging AI/ML frameworks and apply them effectively in real-world scenarios.

Qualifications

• Bachelor's or Master’s degree in Computer Science with a specialization in AI (e.g., BE CS (AI), MCA AI, MSc AI).

Preferred Skills & Experience

• Minimum 2+ years of AI/ML/Agentic AI experience
• Programming experience with Python , .NET , and React .
• Strong problem-solving skills and ability to work independently.

Tools & Technologies

• AI/ML Platforms: Hugging Face , TensorFlow , OpenAI
• Agentic AI Frameworks: LangGraph , LangChain, autogen

Location: Chennai

Interested candidates can share your resume at

Work Location: Chennai (Work from Office)

Role Overview

We’re hiring an NLP/LLM Engineer to design production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products. You’ll work with product teams to build classification, NER, summarization, sentiment, and QA systems — from data preprocessing to deployment and monitoring.

Responsibilities

• Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and Q&A (RAG).
• Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers.
• Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers.
• Integrate LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) into real-time applications and microservices.
• Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant.
• Build retrieval + generation (RAG) pipelines with vector DBs (FAISS, Weaviate, Pinecone).
• Deploy model endpoints (Flask/FastAPI/Streamlit), containerize with Docker, and collaborate on cloud deployment.
• Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals.
• Collaborate with product, infra, and QA to embed models safely and responsibly.

Required skills & experience

• Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK.
• Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants).
• Experience integrating LLM APIs and working with prompt engineering.
• Familiarity with embeddings, attention, tokenization, and vector similarity (cosine).
• Experience with vector DBs such as FAISS, Weaviate, or Pinecone.
• Comfortable with Docker, Git, and REST API development (Flask/FastAPI).
• Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity).

For Sr. Roles: In addition to the above,

• Track record of shipping multiple production LLM/NLP systems end-to-end.
• Strong system design skills (latency/cost tradeoffs, multi-tenant inference).
• Mentoring/leadership experience and ownership of ML lifecycle (MLOps).

Preferred / nice-to-have

• Experience with LangChain, LlamaIndex, PromptLayer, or similar LLMOps tooling.
• RAG workflows and building retrieval pipelines at scale.
• Experience in cloud deployment on AWS/GCP/Azure.
• Contributions to open-source projects or research publications.

About Matrimony.com

Matrimony.com Ltd, a Great Place to Work Certified Wed-Tech company listed on the BSE and NSE, is a leader in matchmaking and wedding services. Its flagship brand, Bharat Matrimony, is the largest and most trusted matrimony brand (Brand Trust Report 2014) spanning customers across the entire economic strata. The company serves over 6 million members with the support of 3,000+ associates and a network of 125+ company-owned retail outlets.

Key Offerings

• Matchmaking Services:
• BharatMatrimony and 200+ matrimony brands segmented on religion, languages, communities, and occupation.
• Jodii: An exclusive matchmaking app for non-degree holders in 9 Indian languages
• Assisted Service and EliteMatrimony : Personalised services for the HNI, NRI and Premium segment of customers
• Wedding Services:
• Wedding Bazaar: Largest wedding services provider.
• Mandap.com: Largest online wedding venues platform.
• MakeMyWedding: Personalized & curated wedding planning services.

New Initiatives & Verticals

• MatchAstro: It is an exclusive astrology app for marriage, love, and relationship
• ManyJobs: Employment platform targeting grey collar workforce. In vernacular language for the Tamil Nadu market (initial phase) and with some of industry first features for both companies and candidates
• WeddingLoan.com : A fin-tech platform to facilitate wedding loans through a curated set of institutions
• Luv.com : A next generation serious relationship app.

International Presence

Matrimony.com has successfully expanded into international markets, with UAE operations thriving for 5+ years and Bangladesh operations commencing in 2021. With a mission to dominate the $100 billion wedding services industry.

Position: Permanent

Role: AI Developer

Experience: 5 Years

Location: Chennai / Bangalore / Pune

Shift Timing: General Shift

About the Role

We are seeking an experienced AI Engineer with proven expertise in developing AI Agents and implementing Agentic AI capabilities. The ideal candidate will also have deep knowledge in designing and managing Knowledge Graphs (KG) using GraphDB, enabling intelligent reasoning, contextual awareness, and semantic data enrichment in enterprise-grade AI systems.

Responsibilities

• Design and develop autonomous AI agents using agentic design patterns (e.g., reflection, reasoning, tool-use, collaboration).
• Implement multi-agent systems capable of task delegation, planning, and decision-making.
• Build and maintain Knowledge Graphs using GraphDB to support semantic search, contextual reasoning, and data enrichment.
• Integrate AI agents with external tools, APIs, and databases to enable dynamic workflows.
• Collaborate with data scientists, domain SMEs, and architects to define ontology models, entity relationships, and graph schemas.
• Optimize agent performance through feedback loops, RLHF, and context-aware protocols (e.g., MCP).
• Ensure scalability, security, and compliance of AI systems across cloud and hybrid environments.
• Document technical designs, workflows, and best practices for stakeholders.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.

Required Skills

• 5+ years of experience in AI/ML engineering, with at least 2 years in agentic AI development.
• Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL, and GraphDB.
• Hands-on experience with knowledge graph modeling, SPARQL, and semantic reasoning.
• Familiarity with MCP protocols, tool-augmented agents, and retrieval-augmented generation (RAG).
• Understanding of LLM fine-tuning, prompt engineering, and multi-turn dialogue systems.

Preferred Skills

• Experience with cloud platforms and deployment of AI solutions.
• Knowledge of ethical AI practices and frameworks.

Regards,

Shivani

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!

Position: Permanent

Role: AI Developer

Experience: 5 Years

Location: Chennai / Bangalore / Pune

Shift Timing: General Shift

About the Role

We are seeking an experienced AI Engineer with proven expertise in developing AI Agents and implementing Agentic AI capabilities. The ideal candidate will also have deep knowledge in designing and managing Knowledge Graphs (KG) using GraphDB, enabling intelligent reasoning, contextual awareness, and semantic data enrichment in enterprise-grade AI systems.

Responsibilities

• Design and develop autonomous AI agents using agentic design patterns (e.g., reflection, reasoning, tool-use, collaboration).
• Implement multi-agent systems capable of task delegation, planning, and decision-making.
• Build and maintain Knowledge Graphs using GraphDB to support semantic search, contextual reasoning, and data enrichment.
• Integrate AI agents with external tools, APIs, and databases to enable dynamic workflows.
• Collaborate with data scientists, domain SMEs, and architects to define ontology models, entity relationships, and graph schemas.
• Optimize agent performance through feedback loops, RLHF, and context-aware protocols (e.g., MCP).
• Ensure scalability, security, and compliance of AI systems across cloud and hybrid environments.
• Document technical designs, workflows, and best practices for stakeholders.

Qualifications

• Bachelor's degree in computer science, Information Technology, or a related field.

Required Skills

• 5+ years of experience in AI/ML engineering, with at least 2 years in agentic AI development.
• Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL, and GraphDB.
• Hands-on experience with knowledge graph modeling, SPARQL, and semantic reasoning.
• Familiarity with MCP protocols, tool-augmented agents, and retrieval-augmented generation (RAG).
• Understanding of LLM fine-tuning, prompt engineering, and multi-turn dialogue systems.

Preferred Skills

• Experience with cloud platforms and deployment of AI solutions.
• Knowledge of ethical AI practices and frameworks.

Regards,

Shivani

AI Engineer

Location: Chennai Teynampet

Experience: 5+ Years (Hands-On Data Science & AI)

Employment Type: Full-Time

Domain: US Mortgage / Lending Automation

Shift:2pm to 11pm.

About the Role

We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure.

Key Responsibilities

• Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
• Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks.
• Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
• Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
• Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
• Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services).
• Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
• Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows.

Required Skills & Qualifications

• 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
• Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design.
• Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers.
• Strong knowledge of Azure Cloud – including Azure ML, Azure Functions, Azure DevOps.
• Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).
• Experience deploying models into production-scale environments.
• Nice to Have
• Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.).
• Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract).
• Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining.
• Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments.
• What We Offer
• Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation.
• Access to top-tier tools, frameworks, and cloud platforms.
• Remote flexibility and career growth in an innovation-first team.
• Impactful work transforming legacy loan operations through AI.