Machine Learning Observability Platform Engineer

3 weeks ago


New 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 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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