ML Platform Engineer - Remote

Overview

With Sonia, doctors are successful doctors. We create and deploy AI enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re an intrinsically motivated self-starter who values impactful work, join us in revolutionizing healthcare.

In Short

• Support and enhance our Kubernetes-based infrastructure in cloud environments.
• Deploy and optimize LLM inference systems.
• Design, build, and improve MLOps/DevOps pipelines.
• Manage GPU scheduling and autoscaling with Kubernetes-native tooling.
• Ensure observability and alerting across the platform.
• Operate and troubleshoot supporting infrastructure.
• Contribute to platform reliability, security, and performance.

Requirements

• 5+ years of experience in MLOps or SRE.
• Strong hands-on Kubernetes experience.
• Familiarity with LLM inference deployment.
• Experience with MLOps supporting tools.
• Understanding of GPU resource orchestration.
• Knowledge of observability tools.
• Solid scripting skills in Python.
• Comfortable working with cloud platforms.

Benefits

• Full ownership of a mission-critical platform.
• A team that values curiosity, learning, and experimentation.
• Remote-first setup with the option to work in our Berlin office.
• Competitive salary depending on experience.
• Work on AI infrastructure that directly impacts healthcare innovation.