MDM Data Scientist

Roles & Responsibilities

• Develop enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face.
• Design and develop 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 systems.
• Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations.

Basic Qualifications and Experience

Skills Required

Tensorflow, Pyspark, Databricks, Sql, Python, Aws