Senior ML Systems Architect

1 day ago


shimoga, India beBeemachineLearning Full time

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in designing and developing large-scale, reliable ML systems.The successful applicant will be responsible for building and maintaining AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse.Design and enhance the platform's AI capabilities that power critical insights across enterprise environments.Collaborate with SREs service owners and observability SMEs to ensure scalable and reliable ML model deployment.Manage data pipelines using Databricks and related tools.Automate model deployment and testing using CI/CD and MLOps best practices.Deploy and manage ML infrastructure on AWS or Azure.Integrate MCP servers and connect tools across observability systems.The ideal candidate will possess:A Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven experience designing, developing, and operating ML systems in production.Strong coding skills in Python.Familiarity with Kubernetes container orchestration and cloud platforms (AWS/Azure).A 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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