Description

You will manage the operational lifecycle of core ML platforms, ensuring high availability and optimal performance.

This role is on-site.

Responsibilities

• Own end-to-end support for Domino Data Lab, GCP Dataproc, Galileo, and adjacent ML platforms.
• Perform installation, upgrades, configuration, patching, and environment maintenance.
• Monitor cluster health, resource utilization, job execution, performance, and alerts.
• Troubleshoot ML workloads involving Spark, Python, R, GPUs, containers, and orchestrators via JIRA tickets, adhering to SLAs.
• Manage access, security policies, service accounts, and platform governance.

Required Skills

• 5+ years of professional experience in MLOps or platform engineering.
• Hands-on experience with Domino Data Lab and GCP Dataproc.
• Proficiency in troubleshooting workloads using Spark, Python, and R.
• Experience managing infrastructure involving GPUs and containerization.
• Familiarity with orchestrators and incident management via JIRA.
• Knowledge of security policies, service accounts, and platform governance.

Key Skills

Education

Any Graduate