Senior Data Scientist (ML/AI and GenAI) at SanaCommerce

GenAI Development & Architecture • Design and build end-to-end Generative AI applications, including RAG pipelines, LLM orchestration, and semantic search solutions • Collaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architectures • Apply best practices for distributed ML systems to ensure modularity, maintainability, and scalability • Optimize AI systems for latency, cost-efficiency, and data privacy • Establish and promote architectural standards for AI/ML services MLOps & Production Excellence • Own the full lifecycle of ML models, from experimentation to production deployment • Productionize models as scalable microservices using FastAPI, Docker, and Kubernetes (AKS) • Implement and promote MLOps best practices, including CI/CD, monitoring, and data validation • Ensure systems are observable, reliable, and aligned with engineering and security standards • Translate complex AI concepts into practical, implementable solutions for engineering teams Collaboration & Engineering Culture • Work closely with Engineering Managers, Data Scientists, and Product teams to deliver impactful AI-driven features • Mentor and coach team members on software engineering best practices (OOP, testing, system design) • Establish technical guardrails and reference architectures for AI development • Foster a culture of experimentation, knowledge sharing, and evidence-based decision-making • Contribute to improving documentation and AI/ML knowledge across the organization Hands-On Development & Innovation • Build proof-of-concepts and run technical experiments to validate new approaches • Contribute to design reviews and key architectural decisions involving AI/ML • Stay close to delivery teams to ensure solutions are practical and production-ready • Support the development of AI-powered features such as search, recommendations, and document intelligence