AI Infrastructure · EI-JOB-928
ML Platform Engineer
Our client, an AI-focused technology company, is building the infrastructure that enables machine-learning teams to train, deploy and monitor models reliably at scale and is looking for an engineer to strengthen its ML platform.
If you feel this role is right for you, we’d love to hear from you.
CLOSEDPythonKubernetesMLOps
Location
Germany · Fully Remote
Salary range
USD 75K–90K
Key Responsibilities
- Build and maintain scalable infrastructure for machine-learning workloads.
- Develop reliable pipelines for model training, deployment and monitoring.
- Improve the tooling used by data scientists and ML engineers throughout the model lifecycle.
- Automate model deployment, testing and infrastructure provisioning.
- Improve platform reliability, observability, scalability and cost efficiency.
- Work closely with ML, data and software engineers to understand platform requirements.
- Establish repeatable processes for production machine-learning operations.
Technical Skills
- Strong Python and software-engineering fundamentals.
- Experience with Kubernetes and containerised workloads.
- Hands-on experience with cloud platforms such as AWS, Azure or GCP.
- Experience with MLflow, Kubeflow or comparable MLOps tooling.
- Understanding of CI/CD, infrastructure-as-code and observability.
- Experience building production ML pipelines and model-serving infrastructure.
- Familiarity with databases, data pipelines and distributed systems.
Benefits
- Fully remote position within Germany.
- 28 days paid vacation.
- Home-office equipment allowance.
- Annual learning and development budget.
Please mention the Job Reference Number in the subject line of your application.
Job Reference: EI-JOB-928
This specific role is closed, but we are actively pipeline-building for upcoming startup matches. To lock in early consideration for our next opening, please send your resume directly to hr@employe.io