Data Science Lead

📋 Description

• Lead architecture of ML/GenAI capabilities for automated regulatory validation workflows.
• Design and optimize LLM-powered retrieval and validation pipelines (RAG).
• Establish evaluation benchmarks and continuous improvement for AI systems.
• Develop explainability, traceability, and validation aligned with compliance needs.
• Collaborate with ML, Backend, data science, product, and compliance teams to productionize AI
• Drive architectural decisions around embeddings, vector databases, and AI infra for

🎯 Requirements

• Strong hands-on Data Science, ML, and production AI experience.
• Proven ability to design/deploy LLM-based solutions in production.
• Practical experience with Retrieval Augmented Generation and LLM-driven retrieval.
• Experience with vector databases, embeddings, and embedding-generation pipelines.
• Strong Python skills and familiarity with modern ML/AI frameworks.
• Experience with model evaluation, benchmarking, and validation frameworks; production-grade

🎁 Benefits

• Competitive salary package.
• Opportunity to work on international, high-impact AI initiatives in a regulated environment.
• 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.