Gen AI Data Scientist

Virtual Drive for Gen AI Data Scientist
Experience: 5-10 years
Job Location: Chennai/ Hyderabad/ Bengaluru/ Mumbai/ Gurgaon/ Pune/ Kolkata
Virtual Drive Date: 27th October 2026
Job Summary:
We are looking for an experienced Data Scientist with strong 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 modern 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

Work arrangement
No