Data Science Lead

Tasks

• Design and evolve AI and machine learning architecture for compliance validation workflows
• Design and optimize LLM powered retrieval and validation pipelines
• Drive technical decisions for embeddings vector databases and retrieval strategies
• Ensure AI workflows are reproducible testable and maintainable
• Establish evaluation and benchmarking frameworks
• Implement explainability traceability and validation mechanisms
• Improve system reliability model performance scalability and operations
• Lead technical discussions across product engineering data science and compliance stakeholders
• Productionize AI components with ML Engineers and Backend Engineers
• Scale AI workflows into enterprise grade platform

Perks/Benefits

• Comprehensive healthcare coverage
• Fully remote working model
• International high impact initiatives
• Long-term B2B contract
• Technical ownership and influence

Skills/Tech-stack

Benchmarking | Embeddings | Explainable AI | Information Retrieval | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | RAG Pipelines | Retrieval-Augmented Generation | Traceability | Vector Databases