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

• Position: ML Platform Engineer with deep Kubernetes expertise
• Focus on supporting infrastructure for AI and ML workloads
• Work closely with ML engineers on deploying LLM inference
• Emphasis on reliability, scalability, and performance
• Remote work from Germany or Luxembourg, or hybrid in Berlin
• 5+ years of experience in MLOps or SRE required
• Strong hands-on Kubernetes experience needed
• Knowledge of GPU orchestration and observability tools required
• Competitive salary based on experience
• Opportunity to impact healthcare innovation

Requirements

• 5+ years of experience in MLOps or SRE
• Strong hands-on Kubernetes experience, including GitOps (Flux or ArgoCD)
• Familiarity with LLM inference deployment and optimization in Kubernetes
• Experience with MLOps supporting tools such as MLflow or Argo Workflows
• Understanding of GPU resource orchestration in Kubernetes environments
• Profound knowledge of observability tools, such as VictoriaMetrics
• Knowledge of database and broker administration (PostgreSQL, Redis, RabbitMQ)
• Solid scripting skills in Python
• Comfortable working with cloud platforms (OVHcloud, AWS, GCP, Azure)

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 Berlin office
• Competitive salary depending on experience
• Work on AI infrastructure that directly impacts healthcare innovation