Data Science Lead

Tasks

• Collaborate with ML engineers and backend engineers to productionize AI components
• Design evolve oversee AI and machine learning architecture for compliance validation workflows
• Design optimize LLM powered 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 and reliable
• Establish evaluation frameworks benchmarking and continuous improvement
• Improve system reliability model performance scalability and operational effectiveness
• Lead architectural alignment across product engineering data science and compliance stakeholders
• Scale AI capabilities into enterprise platform

Perks/Benefits

• Fully remote working
• Healthcare coverage
• International projects
• Long-term contract

Skills/Tech-stack

Benchmarking | CI/CD | Document Intelligence | Embeddings | Explainable AI | Generative AI | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Vector Databases