The official TCS AI careers page confirms the 19 September 2026 AI/ML walk-in drive and lists Pune among the participating locations.
๐ Job Overview
- ๐ข Company: Tata Consultancy Services (TCS)
- ๐ผ Role: AI/ML Developer
- ๐ Location: Pune, Maharashtra
- ๐ผ Experience: 4โ15 Years
- ๐๏ธ Walk-In Date: 19 September 2026
- ๐ท๏ธ Domain: Artificial Intelligence / Machine Learning / Generative AI
- ๐ง Core Skills: GenAI, ML, NLP, Reinforcement Learning, LLMs, Agentic AI, MCP
- ๐ป Programming: Python, Java or .NET
- โ๏ธ Cloud: AWS, Azure, GCP
- ๐งช Frameworks: TensorFlow, PyTorch, Keras
- ๐ Venue: TCS Sahyadri Park 1, Gate 1, Hinjewadi Phase 3, Pune โ 411057
- ๐ข Venue Area: Zone 3 & Auditorium
๐ข About Tata Consultancy Services
Founded in 1968, TCS is a global technology and digital transformation services company within the Tata Group. TCS currently has a workforce of more than 593,000 professionals and operates globally, serving organizations across industries.
AI is now a major strategic focus for TCS. The company’s AI careers initiative states that TCS is working toward becoming the world’s largest AI-led technology services company, with opportunities spanning AI transformation, AI governance, sovereign AI and physical AI.
โญ Why This Role Is Good for Experienced Professionals
This role is particularly attractive for professionals with 4โ15 years of experience because the JD covers the complete AI/ML engineering lifecycle. Candidates are expected to work on data preprocessing, feature engineering, model training, evaluation, optimization, deployment and production integration.
The biggest differentiator is the emphasis on Agentic AI. Candidates should understand LLM-based agents, tool/function calling, memory, workflows, orchestration and Model Context Protocol (MCP). This makes the position relevant for professionals currently working in GenAI, LLM applications, AI engineering, NLP or ML engineering who want exposure to enterprise-scale AI implementations.
๐ง Skills Required
- ๐ค Generative AI: LLM architecture, prompting, embeddings, RAG, evaluation and hallucination mitigation
- ๐งฉ Agentic AI: Tool/function calling, memory, workflows, orchestration and multi-agent concepts
- ๐ MCP: Model Context Protocol fundamentals and how AI systems can interact with tools/data
- ๐ง Machine Learning: Supervised/unsupervised learning, model selection, feature engineering and evaluation
- ๐ฃ๏ธ NLP: Transformers, tokenization, embeddings, text classification and semantic search
- ๐ Programming: Strong Python plus Java or .NET
- ๐ฅ Frameworks: TensorFlow, PyTorch and Keras
- โ๏ธ Cloud: AWS, Azure or GCP AI/ML services
- ๐ Deployment: APIs, containers, model serving, monitoring and scalable production architecture
๐ฏ Expected Interview Rounds at TCS
Round 1 โ Resume/Profile Screening: Recruiters may verify experience, relevant projects, notice period, location, compensation and eligibility.
Round 2 โ Technical AI/ML Interview: Expect ML fundamentals, Python, NLP, model evaluation, algorithms, TensorFlow/PyTorch and real-world problem solving.
Round 3 โ GenAI/Agentic AI Deep Dive: Be ready to explain LLM architecture, RAG, tool calling, agent workflows, memory, MCP, prompt engineering and production challenges.
Round 4 โ Managerial/Project Discussion: Questions may cover architecture decisions, stakeholder communication, project ownership, cloud deployment and handling production issues.
Round 5 โ HR/Final Discussion: Compensation, availability, career goals, location and TCS policies may be discussed. The exact number of rounds can vary according to project and seniority.
๐ฐ Salary Range
TCS has not published an official compensation range for this specific walk-in opening. Third-party data provides a useful benchmark: recent Glassdoor submissions for TCS AI Engineer roles in Pune include โน13 lakh for 4โ6 years, while other recent Pune submissions fall around โน6โ11 lakh for lower experience levels.
For this specialized 4โ15 year AI/ML Developer role, a practical target can be considered around โน10โ25+ LPA, with seniority, GenAI/Agentic AI depth, cloud expertise and current CTC potentially pushing compensation higher. This is an indicative estimate, not an official TCS salary range.
๐ Preparation Tips
๐ฅ 1. Build one complete GenAI architecture: Practice explaining a production RAG system from ingestion to retrieval, generation, evaluation and monitoring.
๐ฅ 2. Prepare an Agentic AI use case: Explain how an LLM uses tools, memory and orchestration to complete a multi-step task.
๐ฅ 3. Study MCP specifically: Understand the problem MCP solves, its role in connecting models with tools/resources and how it differs from conventional API integration.
๐ฅ 4. Revise ML fundamentals: Be prepared for bias/variance, overfitting, feature engineering, model evaluation and optimization.
๐ฅ 5. Demonstrate production thinking: Prepare examples covering deployment, scalability, latency, cost, security, monitoring and model drift.
๐ Resume Tip
Your resume should immediately position you as an AI/ML Engineer rather than a generic software developer. Put Python, GenAI, LLMs, Agentic AI, RAG, NLP, cloud and ML frameworks near the top.
Use quantified project bullets such as: โDeveloped a production RAG pipeline using LLMs and vector search, improving response relevance by X% across X+ queries.โ
If you have built agents, explicitly mention tool calling, orchestration, memory, MCP or multi-agent workflows. Also specify the cloud platform, model/framework used and your contribution to deployment. Avoid listing every AI technology without demonstrating hands-on project experience.
๐ How to Apply & Walk-In Details
Interested candidates can DM toย Arpita Ghoshย and share updated resume if their experience matches the job requirements.
Interested candidates should carry/share their updated CV and attend the walk-in on 19 September 2026.
๐ Venue: TCS Sahyadri Park 1, Gate 1, Hinjewadi Phase 3, Pune โ 411057
๐ข Zone: Zone 3 & Auditorium
๐๏ธ Date: Saturday, 19 September 2026
๐ผ Experience: 4โ15 Years
TCS advises candidates attending its hiring processes to follow official eligibility and documentation requirements. Its careers guidance also states that TCS does not charge candidates any recruitment fee.
๐ Final Thoughts
The TCS AI/ML Developer Walk-In Drive is a strong opportunity for experienced professionals looking to move deeper into Generative AI, LLMs and Agentic AI. The combination of MCP, tool calling, model deployment, cloud platforms, NLP and traditional ML makes this significantly broader than a conventional Machine Learning Developer role.
Candidates attending the Pune drive should focus on demonstrating hands-on architecture and production experience, not just theoretical knowledge. If your resume clearly shows real AI projects and your ability to take models from experimentation to production, this opportunity is worth targeting.
