Data Science Lead

📋 Description

• Design, evolve AI/ML architecture for automated compliance validation workflows
• Design LLM-powered retrieval and validation pipelines (RAG)
• Establish evaluation benchmarks and continuous improvement for AI systems
• Develop explainability, traceability, and validation for regulatory needs
• Collaborate with ML/Backend engineers to productionize AI components
• Lead decisions on embeddings, vector databases, retrieval strategies

🎯 Requirements

• Strong hands-on Data Science, ML, and production AI experience
• Proven experience deploying LLM-based solutions in production
• Practical experience with RAG architectures and LLM-driven retrieval
• Experience with vector databases, embeddings, and embedding-generation pipelines
• Strong Python skills and familiarity with 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