Senior ML Ops Engineer - Berlin
vor 1 Woche
Job summary
Sorge gemeinsam mit uns für die digitale Zukunftsfähigkeit der Bundeswehr.
Deine Aufgaben:
Design und Implementierung von CI/CD-Pipelines für das Training, die Validierung und das Deployment von KI-Modellen (ML-CI/CD)
Aufbau und Verwaltung des “Model Registry” zur Versionierung und Nachverfolgung von trainierten Modellen
Implementierung von Tools für das Experiment-Tracking (z. B. MLflow, Weights & Biases)
Aufbau einer API Management Strategie und Plattform
Entwicklung von Automatisierungs-Workflows für das Model-Serving auf Kubernetes, inklusive Skalierung und Monitoring
Sicherstellung der Reproduzierbarkeit von Trainingsläufen und Deployments
Enge Zusammenarbeit mit den DevOps-Engineern zur Definition der benötigten Infrastruktur-Anforderungen (z. B. spezielle Docker-Images, Kubernetes-Operatoren wie KubeFlow)
Benefits
- Durch abwechslungsreiche und gesellschaftlich relevante Aufgaben gewährleisten wir den reibungslosen IT-Betriebund die Digitalisierung der Bundeswehr
Stellenbeschreibung
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