About this role

Execute and follow established Standard Operating Procedures (SOPs) for GenAI and agent-based solutions in production
Monitor platform health, model performance, and inference pipelines
Ensure stability and availability of AI services across all environments
Investigate and resolve incidents by analyzing logs, traces, and metrics
Conduct root cause analysis (RCA) and document findings
Use observability tools (logs, metrics, tracing) to detect anomalies and performance issues
Contribute to the evolution of Standard Operating Procedures (SOPs) and runbooks
Support runtime operations of LLM-based applications and agent-driven workflows
Monitor inference performance (latency, throughput, cost)

Experience with MLOps, ML systems, or AI platform operations
Strong troubleshooting skills using logs and observability tools
Familiarity with cloud environments (e.g., Azure, AWS, GCP)
Understanding of ML pipelines, APIs, and distributed systems
Experience with monitoring tools (e.g., Datadog, Prometheus, Grafana, Azure Monitor)

Senior MLOps Engineer

Key skills