Full-Time ML Platform Engineer
Sonia is hiring a remote Full-Time ML Platform Engineer. The career level for this job opening is Experienced and is accepting Germany, Luxembourg based applicants remotely. Read complete job description before applying.
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Sonia
Job Title
ML Platform Engineer
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
Germany, Luxembourg
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Job Details
We’re looking for an experienced ML Platform Engineer with deep Kubernetes expertise to support the infrastructure powering our AI and ML workloads.
You’ll work closely with ML engineers on everything from deploying cutting-edge LLM inference to refining observability and automating workflows—always with reliability, scalability, and performance as your guiding principles.
This is what you’ll own
- 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
You’ll thrive in this role if you bring
- 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
Skills
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time ML Platform Engineer at Sonia is
11th of November 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
Germany, Luxembourg
] applicants. .
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