ML Ops Engineer - Remote

Overview

As an ML Ops Engineer at voize, you will be at the forefront of revolutionizing the healthcare industry with AI, working to design and scale robust infrastructure for machine learning applications.

In Short

• Monitor and maintain ML infrastructure including GPU clusters.
• Deploy and manage hosted ML models for production.
• Design and optimize data infrastructure systems and pipelines.
• Work with cutting-edge ML infrastructure and large-scale systems.
• Collaborate with ML and Data teams to ship models to production.
• Follow best practices with Infrastructure as Code and GitOps.
• Fluent in both German and English for effective communication.
• Be part of a fast-growing startup with a significant social impact.
• Enjoy flexible working hours and a remote work option.
• Contribute to the success of healthcare professionals.

Requirements

• Several years of experience in deploying ML models in production.
• Experience with ML training infrastructure and managing GPU clusters.
• Familiarity with Infrastructure as Code tools like Terraform.
• Proficient in container orchestration with Kubernetes and Docker.
• Strong problem-solving and communication skills.
• Ability to work iteratively and adapt to challenges.
• Experience with ML frameworks like Triton and ONNX.
• Fluent in German (B2 or higher) and good English.

Benefits

• Virtual stock options as part of our success.
• Flexible working hours and remote work options.
• Access to various learning platforms.
• Open culture with regular team events.
• Opportunities for rapid personal growth.
• Real impact on alleviating workloads for healthcare professionals.
• Free Germany Ticket and Urban Sports Club membership.
• 30 days of vacation plus your birthday off.