Tcs Hiring For Gen AI Data Scientist For Multiple Locations

Tata Consultancy Services; India; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services in India is seeking a Gen AI Data Scientist to design and deploy GenAI applications, evaluate models, and collaborate with cross-functional teams across multiple Indian cities. You will work with Python, TypeScript, LangChain/LangGraph, and AI agent frameworks to build end-to-end ML pipelines, ensure guardrails, and address scalability and security concerns.

This role offers exposure to cutting-edge GenAI tools, hands-on development, and opportunities to influence

Qualifications

• Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization.
• Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases.
• Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval.
• Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP.
• Strong programming skills in Python and TypeScript.
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias.
• Implemented security best practices, address spikes and DDoS attack and other Spike arrest strategies.
• Knowledge of API Gateways and ISTIO, diagnose and intercept failures in End to End communication.
• Hands-on Experience with API Development and Microservices architecture.

Responsibilities

• Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization.
• Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. (PG vector / chroma DB )
• Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval
• Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP
• Strong programming skills in Python (LangChain/LangGraph / LangSmith) and TypeScript (preferable)
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.
• Implemented security best practices, address spikes and DDoS attacks, and Spike arrest strategies
• Knowledge of API Gateways and ISTIO, diagnose and intercept failures in End to End communication
• Hands-on Experience with API Development and Microservices architecture

Skills

GenAI

AI Agents

Python

TypeScript

LLMs

Prompt Engineering

MLOps

Data Cleaning

NLP Techniques

End-to-End ML Pipelines

Tools

LangGraph

LangSmith

LangChain

ReactJS

API Gateways

ISTIO

Job description

Greetings from TCS!

Job Title: Gen AI Data Scientist

Location: Chennai, Hyderabad, Bangalore, Mumbai, Gurgaon, Pune, Kolkata

Experience Range: 5-10 yrs

Job description:

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.

Key Responsibilities

• Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.
• Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB )
• Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval
• Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP
• Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable )
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.
• Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies
• Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication
• Hands-on Experience with API Development and Microservices architecture
• Desirable skills/knowledge/experience: (As applicable)
• Strong experience applying machine learning, statistical modelling, and predictive analytics to real world business problems.
• Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations
• Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis.
• Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning.
• Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring.
• Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows.
• Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non technical audiences.
• Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles.
• Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute.
• A growth oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques.

Essential skills

• Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.
• Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB )
• Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval
• Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP
• Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable )
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.
• Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies
• Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication
• Hands-on Experience with API Development and Microservices architecture