AI-Driven Observability Expert

2 days ago

solapur, India beBeeMachineLearning Full time

Machine Learning Observability EngineerWe are seeking an expert in machine learning observability to design and develop large-scale, reliable ML systems. The ideal candidate will design and enhance our open-source observability platform, adding AI capabilities that power critical insights across enterprise environments.Key Responsibilities:Develop and maintain AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse.Collaborate with SREs, service owners, and observability specialists to ensure scalable, reliable ML model deployment.Design and manage data pipelines using Databricks and related tools.Implement CI/CD and MLOps best practices to automate model deployment and testing.Deploy and manage ML infrastructure on cloud platforms like 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.Requirements: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 (AWS/Azure).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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