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.

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