Virtual Drive for Gen AI Data Scientist

Experience: 5-10 years

Job Location: Chennai/ Hyderabad/ Bengaluru/ Mumbai/ Gurgaon/ Pune/ Kolkata

Virtual Drive Date: 29th October 2026

Job Summary:

We are looking for an experienced Data Scientist with solid expertise in Generative AI, LLMs, AI Agents, RAG, and Machine Learning . The role involves developing scalable GenAI applications, conversational AI solutions, predictive models, and end-to-end ML pipelines using Python, LangChain/LangGraph, vector databases, and up-to-date AI frameworks.

Key Responsibilities:

- Develop and deploy GenAI, Machine Learning, and predictive analytics solutions for business use cases.
- Build AI Agents, chatbots, RAG applications , and conversational AI solutions.
- Develop GenAI use cases including code translation, text extraction, summarisation, and SDLC optimisation .
- Perform data analysis, preprocessing, feature engineering, model training, validation, and optimisation.
- Build end-to-end ML/AI pipelines covering development, deployment, monitoring, and retraining.
- Implement LLM evaluation, AI guardrails, hallucination control, PII filtering, HAP, and bias mitigation .
- Develop and integrate APIs and microservices for scalable AI applications.
- Work with engineering, product, analytics, and domain teams to translate business requirements into AI/ML solutions.




- Diagnose end-to-end integration and communication issues involving API Gateways and Istio .
- Communicate analytical insights through dashboards, visualisations, reports, and presentations.

Required Skills:

- Strong hands-on experience with Generative AI, Gemini or open-source LLMs , and LLM application development.
- Experience building AI Agents, Chatbots, and RAG solutions .
- Strong programming skills in Python , with experience using LangChain, LangGraph, and LangSmith .
- Experience with vector databases such as PGVector or Chroma DB .
- Strong understanding of LLMs, prompt engineering, embeddings, and graph-based agent workflows .
- Experience with GenAI evaluation approaches and tools such as RAGAS, DeepEval, and Pegasus .
- Experience developing AI agents using technologies such as LangGraph, ADK, A2A, and MCP .
- Knowledge of AI guardrails , including hallucination mitigation, PII filtering, harmful-content controls, and bias mitigation.
- Hands-on experience with API development and microservices architecture , including API gateways and Istio.
- Understanding of application and GenAI security controls, including rate limiting, spike protection, Denial-of-Wallet mitigation, and DDoS protection strategies .

Good to Have:

- Machine Learning, NLP, predictive analytics
- MLOps, CI/CD, model monitoring
- GCP, React JS, TypeScript
- Responsible AI, data governance, and model explainability

📌 Gen AI Data Scientist (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad