MDM Data Science Manager

Roles & Responsibilities

• Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face.
• Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments.
• Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions.
• Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems.
• Utilize SQL and Python for data engineering, data wrangling, and pipeline automation.
• Build scalable APIs and services to serve GenAI models in production.
• Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered system
• Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations.

Basic Qualifications and Experience

• Master's degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
• Bachelor's degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
• Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains