Large Scale ML System Designer
2 weeks ago
We are looking for a skilled professional to fill the position of Large Scale ML System Designer. The ideal candidate will be passionate about building and maintaining large-scale, reliable ML systems.This role involves designing and enhancing our open-source observability platform, adding AI capabilities that power critical insights across enterprise environments.Design and develop AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse.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 cloud platforms such as AWS or Azure.Set up and integrate MCP servers and connect tools across observability systems.Establish prompt standards and develop custom MCP integrations between systems.Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.Requirements:Masters 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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