Data Engineer for Machine Learning Observability

2 weeks ago


pushkar, India beBeeEngineer Full time

Building Large-Scale ML Systems for Enterprise EnvironmentsYou will design, develop, and operate machine learning systems in a large-scale environment.Collaborate with SREs, service owners, and observability SMEs to ensure scalable and 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.Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.RequirementsMaster'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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