Platform Engineer, MLOps - Remote

Overview

As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, collaborating with AI/ML engineers and researchers to develop a robust CI/CD pipeline.

In Short

• Design and deploy CI/CD pipelines for AI/ML experiments.
• Set up monitoring, logging, and alerting systems.
• Ensure training environments are available across clusters.
• Manage containerization and orchestration with Docker and Kubernetes.
• Operate large Kubernetes clusters with GPU workloads.
• Optimize system performance and reliability.
• Provide operational support for distributed software applications.
• Drive continuous innovation and improvement.

Requirements

• Experience with model training and AI frameworks.
• Familiarity with infrastructure as code tools like Terraform.
• Proficiency in scripting languages such as Python or Bash.
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Knowledge of Git and GitHub workflows.
• Comfort with ambiguity and rapid change.
• 5+ years building core infrastructure.
• Experience operating orchestration systems like Kubernetes.

Benefits

• Generous PTO and company holidays.
• Medical, dental, and vision coverage.
• Paid parental leave for all parents.
• Flexible spending account options.
• Health savings account with company contribution.
• Annual work-life stipends for home office setup.
• Company-wide and team off-sites.
• Competitive compensation and stock options.