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 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 maintainable and aligned to engineering standards
• Establish evaluation frameworks and benchmarking for AI performance
• Improve system reliability model performance scalability and operational effectiveness
• Lead technical discussions across product engineering data science and compliance stakeholders
• Scale AI capabilities into an enterprise grade platform

Perks/Benefits

• Comprehensive healthcare coverage
• Fully remote
• International high impact AI initiatives
• Long-term B2B contract
• Opportunity for technical ownership and influence

Skills/Tech-stack

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