Senior Data Scientist (Gen AI + Classical ML)

Develop and deploy end-to-end Machine Learning models using Python, Classical ML algorithms, and scalable Databricks workflows (PySpark, MLflow, Delta Lake).

Lead GenAI initiatives including LLM fine-tuning, RAG pipelines, prompt engineering, and vector database integrations.

Build robust data pipelines, perform feature engineering, and optimize models for performance and production readiness.

Collaborate with cross-functional teams to translate business problems into ML / GenAI solutions with measurable outcomes.

Conduct advanced statistical analysis, experimental design, and model evaluation to ensure accuracy and reliability.

Drive best practices in MLOps, automation, and documentation for efficient model lifecycle management.