Gen AI Data Scientist

Tata Consultancy Services Limited; Ernakulam, Pune District, Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a Data Scientist in India to build GenAI applications leveraging LLMs for code translation, text extraction, summarisation, and SDLC optimisation. You will also create AI agents and RAG workflows, integrating vector databases and deploying scalable ML pipelines.

The role emphasizes strong Python/TypeScript skills, NLP techniques, prompt engineering, and governance.

Qualifications

• Hands-on GenAI and LLM experience across application areas.
• Strong programming skills in Python and TypeScript; experience with LangChain/LangGraph.
• Experience with AI agents, RAG workflows, and vector databases.
• Familiarity with MLOps, model versioning, pipelines, CI/CD for ML, and monitoring.

Responsibilities

• Develop GenAI applications for translation, extraction and summarisation tasks.
• Build and deploy AI agents using LangGraph/ADK with end-to-end ML pipelines.
• Collaborate with cross-functional teams to resolve data integrations and governance.

Skills

GenAI & LLMs

AI Agents & RAG

Python programming

TypeScript

LangChain/LangGraph

Prompt engineering

MLOps

Data Governance

GCP

APIs & Microservices

NLP techniques

Tools

LangGraph

ADK

Istio

API Gateways

Job description

Role- Data Scientist

• 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

• Strong experience applying machine learning, statistical modelling, and predictive analytics to realworld 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 finetuning.
• Experience building endtoend 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 nontechnical 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 growthoriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques.