Machine learning observability platform engineer

2 days ago


Delhi, India 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 Click House.- 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 Open Telemetry 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 Open Telemetry pipelines for ML systems.- Knowledge of CI/CD, MLOps, and monitoring best practices.-



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