Gen AI Data Scientist

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

Work arrangement
No