Machine Learning Observability Platform Engineer

3 days ago

Davangere, India Mewar Infotech Limited Full time

We’re looking for aMachine Learning Observability Platform Engineerwho’s passionate about building large-scale, reliable ML systems. You’ll help design and enhance ouropen-source observability platform , adding AI capabilities that power critical insights across enterprise environments. What You’ll DoBuild and maintainAI/ML featuresfor an open-source Observability Platform built onGrafana and ClickHouse . Collaborate withSREs, service owners, and observability SMEsto ensure scalable, reliable ML model deployment. Design and managedata pipelinesusingDatabricksand related tools. UseCI/CD and MLOps best practicesto automate model deployment and testing. Deploy and manage ML infrastructure onAWS or Azure . Set up and integrateMCP serversand connect tools across observability systems. Establishprompt standardsand developcustom MCP integrationsbetween systems. Troubleshoot ML system performance and reliability usingOpenTelemetry pipelinesand observability metrics. What We’re Looking ForMaster’s degree inComputer Science, Engineering, or Artificial Intelligence(or equivalent experience). Proven experiencedesigning, developing, and operating ML systems in production . Hands-on experience withLLMs/MCPs ,Grafana , andDatabricks . Strong coding skills inPython . Familiarity withKubernetes ,container orchestration , andcloud platforms(AWS/Azure). Solid understanding ofobservability pillars(metrics, logs, traces). Experience implementingOpenTelemetrypipelines for ML systems. Knowledge ofCI/CD ,MLOps , andmonitoring best practices .

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