Design and manage data pipelines for ingestion, processing, and transformation of diverse datasets (LLMs, physical-chemical, experimental, graph data, etc.). Lead the deployment of machine learning models in a scalable, secure cloud environment (e.g., AWS, GCP, or Azure). Structure and maintain internal databases/platforms to optimize for performance and usability by AI systems, researchers, and engineers. […]
Collaborate closely with a multidisciplinary team of scientists, machine learning experts, and software engineers to accelerate R&D. Architect how data is hosted, versioned, and accessed...