About the Unit

TCS AI is driving the vision of becoming the world’s largest AI-led technology services company, helping enterprises transform across the entire AI stack—from infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise-grade AI platforms, model engineering, and human-centered design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernize their data ecosystems and infuse AI across customer value chains.

For TCS, AI is not just a technology — It is the foundation of the next economy.

Title Description for Opportunity

Role Name: ML Engineer

Responsibilities:

- Design, develop, and optimize Generative AI and Agentic AI solutions for business use cases.
- Build, fine-tune, and deploy LLMs using modern AI frameworks and best practices.
- Develop RAG-based applications and AI agents for scalable enterprise solutions.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Implement MLOps, LLMOps, and AgentOps practices for deployment, monitoring, and continuous improvement.
- Mentor team members and provide technical guidance on AI architecture and implementation.

Must Have Skills:

- 7+ years of IT experience with 3+ years in AI/Generative AI.
- Strong expertise in LLMs, Generative AI, NLP, and Agentic AI.
- Hands-on experience with RAG, MCP, LangChain, and LangGraph.
- Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, or Keras.
- Experience with MLflow, Phoenix, and Google Agent Development Kit (ADK).
- Solid knowledge of MLOps, LLMOps, AgentOps, and CI/CD practices.
- Experience deploying AI solutions on AWS, Azure, or GCP.




- Proven experience building and supporting production-grade AI applications.

Location: PAN India (Tier 1 cities preferred)

Experience Range: 7-15 years

Qualifications: Any Technical Degree (BE/BTech/MTech/MCA/BCA/BSC/Diploma/Masters)

Eligibility:

- 15 years of full-time education.
- Good communication and interpersonal skills
- Strong verbal and written communication skills
- Willingness to work in a collaborative and dynamic environment
- Relevant experience as per the job requirements (if applicable)

Unit level assets:

Solutions- First one should go with any AI opening

1. TCS AI WisdomNext™- A modular, enterprise‑grade GenAI platform to design and scale agentic automation with greater business impact
2. TCS Neural Decision Synthesis
3. TCS Rapid Outcome AI

Research insights/Blogs - First 2 articles will go with any AI opening

1. From potential to performance by design- TCS AI for Business Study – Key Findings
2. The Tata Story at the India AI Impact Summit
3. Statistical AI framework for model fragility detection
4. Winning With Intelligent Choice Architectures
5. Advance innovation with human-humanoid collaboration
6. How to measure success with agentic AI in enterprises
7. Build enterprise ready LLMs through fine tuning
8. Redefining application maintenance with AI

Case studies-

1. Deutsche Bank accelerates compliance with AI-powered digital assistant
2. Lloyds Banking Group: Re-imagining banking with AI
3. Global YT Video- TCS helps TDC NET modernise with human-in-the-loop AI

Leadership Video- both should go with any AI opening

1. Tata AI Conclave, powered by CNBC TV18- TATA chairman and COO
2. Transforming work in the age of AI- Ashok Krish

Big Bet hiring page link:

- https://www.tcs.com/careers/india/tcs-ai-careers

📌 Machine Learning Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru