Data-Driven Machine Learning Infrastructure Specialist

17 hours ago


mangalore, India beBeeObservability Full time

Job OpportunityWe seek a skilled Machine Learning Observability Platform Engineer to drive the development of large-scale, reliable ML systems.Key Responsibilities:Enhance the open-source observability platform with AI capabilities to provide critical insights across enterprise environments.Collaborate with SREs, service owners, and observability SMEs to ensure scalable, reliable ML model deployment.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 AWS or Azure.Set up and integrate MCP servers and connect tools across observability 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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