Data Science Lead

Tasks

• Build LLM retrieval and validation pipelines
• Create evaluation and benchmarking frameworks
• Design AI and machine learning architecture for compliance validation
• Develop RAG architectures
• Ensure AI workflows are reproducible and testable
• Implement explainability and traceability mechanisms
• Improve model performance reliability and scalability
• Lead technical alignment with product and compliance teams
• Optimize embeddings and vector databases strategy
• Productionize AI components with engineering teams
• Scale AI capabilities to enterprise platform

Perks/Benefits

• B2B contract
• Fully remote work
• Healthcare coverage

Skills/Tech-stack

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