ML Platform Engineer (all)
ML Platform Engineer (all)
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Job Description
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 youre an intrinsically motivated self-starter who values impactful work join us in revolutionizing healthcare.
Were looking for an experienced ML Platform Engineer (all) with deep Kubernetes expertise to support the infrastructure powering our AI and ML work closely with ML engineers on everything from deploying cutting-edge LLM inference to refining observability and automating workflowsalways with reliability scalability and performance as your guiding principles.
This role can be performed remotely from anywhere in Germany or Luxembourg or in a hybrid setup from our offices in Luxembourg or Berlin.
Tasks
- Support and enhance our Kubernetes-based infrastructure in cloud environments
running both ML/LLM workloads and general applications - Deploy and optimize LLM inference systems
- Design build and improve MLOps/DevOps pipelines to support the entire development lifecycle
- 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 through automation and best practices
Requirements
- 5 years of experience in MLOps or SRE
- Strong hands-on Kubernetes experience including GitOps (Flux or ArgoCD) Kustomize Helm and production troubleshooting
- Familiarity with LLM inference deployment and optimization in Kubernetes (e.g. vLLM LMCache llm-d)
- 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 VictoriaLogs and Grafana
- Knowledge of database and broker administration (PostgreSQL Redis and RabbitMQ)
- Solid scripting skills in Python
- Comfortable working with cloud platforms (OVHcloud AWS GCP or Azure)
Nice-to-Haves
- Experience with audio ML models or real-time inference
- Exposure to CI/CD practices tailored for ML systems
- Familiarity with Kubernetes networking security or performance tuning
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
If youre passionate about web development and want to work with cutting-edge technologies wed love to hear from you!
Im Margarita and will be guiding you through the application process.
Employment Type
Full Time
