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ML DevOps Engineer

Galent

 

Toronto, ON, Canada

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 2
Category: ML DevOps Engineer
Tenure: No Preference/Any
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Description

Deploy, modernize, and scale Machine Learning infrastructure on Kubernetes.

This role is hybrid.

Responsibilities

  • Deploy, upgrade, and maintain ML Kubernetes infrastructure adhering to security standards.
  • Build scalable systems for data pipelines, model training, and inference workloads.
  • Implement and manage CI/CD pipelines for ML systems and platform components.
  • Automate infrastructure provisioning using Terraform, Helm, and IaC tools.
  • Troubleshoot system performance and infrastructure reliability issues.

Required Skills

  • 5+ years building automated, production-grade infrastructure.
  • Strong experience with Kubernetes and Docker.
  • Hands-on experience with Terraform.
  • Expertise with cloud platforms, preferably Azure.
  • Strong scripting skills in Bash and Python.
  • Experience managing CI/CD tools like GitHub Actions.
  • Linux administration experience on RedHat/Ubuntu in cloud environments.
  • Proficiency with Git and version control workflows.

Education

Any Graduate

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