#Machine Learning Engineer

2 days ago


hubballi, India beBeeMl Full time

Job Title:Machine Learning Systems ArchitectJob Summary:We are seeking a highly skilled Machine Learning Systems Architect to design and develop AI/ML features for an open-source Observability Platform.Key Responsibilities:AI/ML Feature Development: Design, build, and maintain AI/ML features for the Observability Platform using Grafana and ClickHouse.Collaboration: Collaborate with SREs, service owners, and observability SMEs to ensure scalable and reliable ML model deployment.Data Pipeline Management: Design and manage data pipelines using Databricks and related tools.CICD/MLOps Best Practices: Implement CI/CD and MLOps best practices to automate model deployment and testing.ML Infrastructure Deployment: Deploy and manage ML infrastructure on AWS or Azure.MCP Integration: Set up and integrate MCP servers and connect tools across observability systems.Prompt Standards: Establish prompt standards and develop custom MCP integrations between systems.Troubleshooting: Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.Requirements:Education: Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Experience: Proven experience designing, developing, and operating ML systems in production.Skills: 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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