Machine Learning Observability Platform Engineer

1 hour ago


india, IN Mewar Infotech Limited Full time


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
  • 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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