Data Science Lead

Tasks

• Collaborate with engineers to productionize AI components
• Design and evolve AI and machine learning architecture for compliance validation
• 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 frameworks and benchmarking processes
• Implement explainability traceability and validation mechanisms
• Improve reliability model performance scalability and operational effectiveness
• Lead architectural discussions across stakeholders
• Scale AI capabilities into enterprise platform

Perks/Benefits

• Fully remote work
• Healthcare coverage
• International projects
• Long-term B2B contract
• Technical ownership

Skills/Tech-stack

Benchmarking | Data Pipelines | Deep learning | Document Intelligence | Embeddings | Explainable AI | Information Retrieval | Language Models | Large Language Models | Machine Learning | Model Evaluation | NLP | Python | RAG | Retrieval-Augmented Generation | Software Architecture | Traceability | Vector Databases