Role: Senior Data Scientist - Python, ML, GenAI & Agentic AI

Experience Range: 5+ years

Location Constraint: Bangalore/Pune

Key Responsibilities:
Develop and deploy ML models for prediction, forecasting, recommendation, anomaly detection, and classification problems.
Build NLP solutions for text classification, sentiment analysis, NER, document processing, information extraction, and conversational AI.
Design and implement GenAI applications using LLMs (GPT, Gemini, Claude, Llama) and RAG architectures.
Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design
Develop Agentic AI workflows and multi-agent systems using LangGraph, LangChain, or similar frameworks.
Implement prompt engineering, vector search, embeddings, semantic retrieval, and AI guardrails.
Build and maintain end-to-end AI/ML pipelines with MLOps best practices.
Collaborate with business and technology teams to translate business challenges into AI-driven solutions.

Technical Skills:




5+ years of experience building large-scale distributed systems + solid experience with ML/DL, LLM systems, agentic workflows
Experience working on Python, Statistics, ML, DL, Gen AI, and Agentic AI
Hands-on on NLP: Text Analytics, NER, Topic Modeling, Semantic Search, Transformers, BERT
Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases
Experience with cloud platforms and containerization technologies
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders

Education Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.

📌 Data Scientist Bengaluru (India)
🏢 Tata Consultancy Services
📍 India