Experience building, maintaining, and searching ultra-large chemical databases using scalable data engineering, distributed computing, and high-performance search technologies; familiarity with cloud storage, vector search, and chemical indexing is highly desirable. Establish and maintain MLOps capabilities for predictive models, including reproducible training and deployment pipelines, model lifecycle orchestration, performance monitoring, versioning, and scheduled retraining.