Data Science Lead

Tasks

• Collaborate with ML engineers and backend engineers to productionize AI components
• Design and optimize LLM powered retrieval and validation pipelines
• Design evolve and oversee AI and machine learning architecture for automated compliance validation workflows
• Develop explainability traceability and validation mechanisms for regulatory requirements
• Drive technical decisions for embeddings vector databases and retrieval strategies
• Ensure AI workflows are reproducible testable and maintainable
• Establish evaluation frameworks and benchmarking approaches
• Lead architectural discussions across product engineering data science and compliance
• Scale AI capabilities into an enterprise grade platform

Perks/Benefits

• Healthcare coverage
• Long-term contract
• Remote work

Skills/Tech-stack

Benchmarking | Document Intelligence | Embeddings | Evaluation | Explainable AI | Information Retrieval | Language Models | Large Language Models | Machine Learning | Model Validation | NLP | Python | RAG Pipelines | Retrieval-Augmented Generation | Vector Databases