Observability Systems Architect

3 days ago


madurai, India beBeeMachineLearning Full time

About the RoleWe're seeking a skilled Machine Learning Observability Platform Developer to build large-scale, reliable ML systems.Design and implement AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse.Collaborate with SREs, service owners, and observability experts to ensure scalable, reliable ML model deployment.Create and manage data pipelines using Databricks and related tools.Apply CI/CD and MLOps best practices to automate model deployment and testing.Deploy and manage ML infrastructure on cloud platforms.Set up and integrate MCP servers and connect tools across observability systems.Establish standards for MCP integrations between systems.Analyze ML system performance and reliability using OpenTelemetry pipelines and observability metrics.RequirementsA Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven experience designing, developing, and operating ML systems in production.Hands-on experience with LLMs/MCPs, Grafana, and Databricks.Strong coding skills in Python.Familiarity with Kubernetes, container orchestration, and cloud platforms.Solid understanding of observability pillars (metrics, logs, traces).Experience implementing OpenTelemetry pipelines for ML systems.Knowledge of CI/CD, MLOps, and monitoring best practices.



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