Job Description
ML Ops & Platform Engineering
1. CI/CD pipelines for agents, prompts, policies, and evaluation workflows.
2. Environment setup (Dev/Test/Prod), including safe model deployment.
3. Metrics, logging, tracing, and observability for performance and cost monitoring.
4. Safety monitoring including jailbreak detection, anomaly detection, fallback routines.
5. Automated testing frameworks for agent behaviour.
Senior ML Ops Engineer (8-10 Years experience )
a. Model deployment, model serving, CI/CD
b. Monitoring, tracing, rollback, and safety controls
c. Prompt engineering, API integrations, building agent tools