Summary
Responsible for automating model deployment, ensuring version control, monitoring inference systems, and safely integrating AI agents into production with strong observability and rollback capabilities.
Responsibilities
• Automate ML model deployment workflows
• Manage model versioning and release processes
• Monitor inference cost, latency, and drift
• Integrate AI agents safely into production systems
• Implement observability, alerting, and rollback mechanisms
Required Experience
7+ years in ML Engineering / AI Engineering
Required Skills
• Model deployment automation
• Model version control
• Monitoring inference cost, latency & drift
• Production integration of AI/LLM agents
• Observability & rollback systems
Preferred Skills
• Experience with containerized deployments
• Familiarity with CI/CD for ML (MLOps)