Data Science Lead

Tasks

• Collaborate with ML engineers and backend engineers to productionize AI components
• Design and evolve AI and machine learning architecture for compliance validation
• Design and optimize LLM powered RAG retrieval and validation pipelines
• Develop explainability traceability and validation mechanisms
• Drive technical decisions for embeddings vector databases and retrieval strategies
• Ensure AI workflows are reproducible testable maintainable
• Establish model evaluation benchmarking and continuous improvement
• Scale AI capabilities from workflows to enterprise platform

Perks/Benefits

• Fully remote working
• Healthcare coverage
• Long-term contract
• Technical ownership and influence

Skills/Tech-stack

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