Senior MLOps Engineer (m/f/d)
Summary
Rohde & Schwarz in Dresden is hiring a Senior MLOps Engineer to take AI models from prototype to production: building ML pipelines and CI/CD, containerizing applications, and deploying models on Kubernetes, Azure, and edge/low-power systems, with monitoring, drift detection, and experiment tracking. Requires strong Python, Docker/Kubernetes, and GitOps experience.
Introduction
You take AI models from prototype to production—scalable, robust, and ready for the real world.
Tasks
- You implement and maintain ML pipelines for data ingestion, training and deployment as well as CI/CD processes for models.
- You containerize and package AI applications for hybrid cloud and on-premise environments.
- You deploy models on Kubernetes, Azure and edge target systems and optimize them in terms of latency, accuracy and energy efficiency.
- You implement monitoring, logging, drift detection and A/B testing for production models.
- You ensure reproducibility and experiment tracking throughout the entire model lifecycle, including versioning and metadata management.
- You work closely with AI/ML engineers to make prototypes production-ready.
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Qualifications
- You bring several years of hands-on experience in MLOps or a comparable role, particularly in deploying models on cloud and on-premise infrastructures.
- You have solid Python skills as well as experience with containerization (Docker/Podman), orchestration (Kubernetes) and CI/CD/GitOps workflows (GitLab, Helm charts).
- You have experience with ML lifecycle tools such as experiment tracking, model versioning and monitoring, as well as with deployment considerations for edge and low-power environments.
- You stand out through a strong automation and reliability mindset as well as strong troubleshooting skills at both the infrastructure and model level.
- You are characterized by teamwork skills, communication skills, willingness to learn, analytical thinking and presentation skills.
- Very good German skills and very good English skills (written and spoken) round off your profile.
