Senior Data Scientist

In your role as a Machine Learning Engineer, you will be responsible for developing and deploying end-to-end Machine Learning models using Python, Classical ML algorithms, and scalable Databricks workflows such as PySpark, MLflow, and Delta Lake. Your key responsibilities will include: - Leading GenAI initiatives, which involve tasks such as LLM fine-tuning, RAG pipelines, prompt engineering, and vector database integrations. - Building robust data pipelines, performing feature engineering, and optimizing models for performance and production readiness. - Collaborating with cross-functional teams to translate business problems into ML/GenAI solutions with measurable outcomes. - Conducting advanced statistical analysis, experimental design, and model evaluation to ensure accuracy and reliability. - Driving best practices in MLOps, automation, and documentation for efficient model lifecycle management. Additionally, if there are any additional details about the company in the job description, please provide them.,