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Tata Consultancy Services

Walk in - Gen AI, AI ML, Python - Chennai

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Tata Consultancy Services

Chennai Full-Time 4–8 yrs exp Posted 8 hours ago  · Apply by Sep 14, 2026

TCS invites Technology professionals for a Walk-in Interview Drive in Chennai - Magnum 18th July 26 (Saturday)


It is time for you to make #thebigmove to Tata Consultancy Services.


Role: Gen AI, AI ML, Python

Interview Date: 18th July 26 (Saturday)

Experience: 3 - 8 years

Mode of Interview: F2F/ Walk-in

Location: Chennai - Magnum

Mode of Hire: Fulltime/Permanent/FTE


NOTE : "Only candidates who can attend the Walk-in on 18th July 26(Saturday) are eligible to apply. Please apply only if you are available on that day."


JOB DESCRIPTION:

We are seeking a highly skilled Generative AI, AI/ML, and Python Developer to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will have hands-on experience in Python development, Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI technologies, and cloud-based AI solutions.

Key Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions.
  • Build and integrate applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
  • Develop AI-powered chatbots, virtual assistants, and automation solutions.
  • Implement RAG architectures using vector databases.
  • Fine-tune, evaluate, and optimize foundation models and machine learning models.
  • Develop REST APIs and microservices using FastAPI or Flask.
  • Create scalable data pipelines for training, inference, and model monitoring.
  • Implement MLOps practices for deployment, monitoring, and maintenance.

Required Technical Skills

Programming: Python (Advanced), SQL, Git/GitHub/Azure DevOps

AI/ML: Machine Learning, Deep Learning, NLP, Model Training & Optimization

Generative AI: LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, AI Agents, Vector Databases

Frameworks: FastAPI, Flask, Django (Preferred)

Cloud: Azure AI Services, Azure OpenAI, AWS AI/ML, Google Cloud AI

MLOps: Docker, Kubernetes, CI/CD, MLflow, Monitoring


Interested candidates can share their resumes to [email protected]