Data Science Lead

📋 Description

• Lead architecture and evolution of ML and GenAI capabilities for automated regulatory workflows.
• Design and optimize LLM-powered retrieval and validation pipelines (RAG).
• Establish evaluation, benchmarking, and continuous improvement for AI systems.
• Develop explainability, traceability, and validation aligned with regulatory needs.
• Collaborate with ML Engineers and Backend Engineers to productionize AI components.
• Drive decisions on embeddings, vector databases, and AI infra; ensure reliability and scalability.

🎯 Requirements

• Strong hands-on experience in Data Science, ML, and production AI systems.
• Proven experience deploying LLM-based solutions in production.
• Experience with Retrieval Augmented Generation and LLM-driven retrieval workflows.
• Experience with vector databases, embeddings, and embedding-generation pipelines.
• Strong Python programming skills and familiarity with modern ML/AI frameworks.
• Experience designing model evaluation, benchmarking, and validation frameworks.

🎁 Benefits

• Competitive salary package.
• Opportunity to work on international AI initiatives in a regulated enterprise.
• Comprehensive healthcare coverage.
• Long-term B2B contract with a stable project pipeline.
• Fully remote working model.
• Opportunity to work with modern LLM, RAG, ML, and AI platform tech.