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: 29th October 2026

Job Summary:

Data Scientist with strong expertise in Generative AI, LLMs, AI Agents, RAG, and Machine Learning

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