• Maintain and improve software and data pipelines and continuous integration and delivery (CI/CD) workflows using Government-approved tools.
• Version and trace code, model identifiers, prompts, configurations, data dependencies, and evaluation artifacts so results and releases can be reproduced.
• Automate build, test, packaging, and deployment steps; integrate required validation evidence and approval checkpoints into release workflows.
• Monitor processing health, failures, latency, throughput, and resource use; connect model-performance monitoring with metrics defined by the data science and evaluation team.
• Diagnose production incidents and pipeline failures, document workarounds and root causes, and verify recovery with the AI/ML Engineer and Government staff.
• Prepare release and rollback procedures, integrate Government-approved changes, and verify system behavior after deployment.
• Apply access, secrets, logging, and sensitive-data handling controls; maintain runbooks, configuration records, and operational knowledge for cross-training and transition