Machine Learning Observability Platform Engineer

We’re looking for a Machine Learning Observability Platform Engineer who’s passionate about building large-scale, reliable ML systems. You’ll help design and enhance our open-source observability platform, adding AI capabilities that power critical insights across enterprise environments.

What You’ll Do

• Build and maintain AI / ML features for an open-source Observability Platform built on Grafana and ClickHouse.
• Collaborate with SREs, service owners, and observability SMEs to ensure scalable, reliable ML model deployment.
• Design and manage data pipelines using Databricks and related tools.
• Use CI / CD and MLOps best practices to automate model deployment and testing.
• Deploy and manage ML infrastructure on AWS or Azure.
• Set up and integrate MCP servers and connect tools across observability systems.
• Establish prompt standards and develop custom MCP integrations between systems.
• Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.

What We’re Looking For