AI/ML Infrastructure Architect

6 days ago

kollam, India beBeeMachine Full time

We're seeking a talented AI/ML Engineer to build cutting-edge, reliable machine learning systems. You'll help design and enhance our open-source observability platform, adding intelligence that powers critical insights across enterprise environments.Key Responsibilities:Design and implement advanced AI/ML features for our Observability Platform built on Grafana and ClickHouse.Collaborate with SREs, service owners, and observability experts to ensure scalable, reliable ML model deployment.Create and manage data pipelines using Databricks and related tools.Apply DevOps and MLOps best practices to automate model deployment and testing.Deploy and manage ML infrastructure on cloud platforms like AWS or Azure.Integrate MCP servers and connect tools across observability systems.Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.Requirements:Bachelor's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven experience designing, developing, and operating ML systems in production.Familiarity with LLMs/MCPs, Grafana, and Databricks.Strong coding skills in Python.Familiarity with container orchestration and cloud platforms.Solid understanding of observability pillars (metrics, logs, traces).Experience implementing OpenTelemetry pipelines for ML systems.Knowledge of DevOps, MLOps, and monitoring best practices.

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