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Data Scientist Gen AI @ Tata Consultancy

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 Data Scientist Gen AI

Job Description

Role & responsibilities


Location - CHN, HYD, BLR, MUM, GGN, PUNE


Interested and available candidates on 13-May-26 for Virtual interview can share profile.


Role- Data Scientist ( 5 to 12 Yrs )

  • 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 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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT & Information Security - Other
Role: IT & Information Security - Other
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Hyderabad

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Keyskills:   Generative Ai Vector Database LLM Retrieval Augmented Generation Python Langchain

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Tata Consultancy

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