Chief Machine Learning Systems Architect

5 days ago


visakhapatnam, India beBeeObservability Full time

At the forefront of innovative technology lies a unique opportunity to join our esteemed team as an Observability Engineer. With a strong background in machine learning, software engineering, and cloud computing, this role demands expertise in building large-scale, reliable ML systems.Key responsibilities include designing and developing AI/ML features for our open-source platform built on Grafana and ClickHouse, collaborating with cross-functional teams to ensure scalable and reliable ML model deployment, and managing data pipelines using Databricks and related tools.Main Responsibilities:Design and develop AI/ML features for our 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.Use CI/CD and MLOps best practices to automate model deployment and testing.Deploy and manage ML infrastructure on AWS or Azure.Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.About You: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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