MLOps Engineer | MLOps Engineer (m/w/d)
Rheinmetall AG
Job Summary
As an MLOps Engineer at Rheinmetall Digital GmbH, you will play a pivotal role in bridging the gap between data science and production systems. Your day-to-day responsibilities include deploying and operating machine learning models, implementing scalable traffic-handling and autoscaling mechanisms, and optimizing inference performance. You will be responsible for containerizing models, ensuring reproducibility across environments, and establishing comprehensive monitoring for model behavior and data quality. Additionally, you will support governance and compliance by maintaining rigorous documentation and versioning. This role is ideal for a professional with a strong background in MLOps, DevOps, or platform engineering who thrives in collaborative environments. Working in Bremen, you will benefit from a structured onboarding process, professional development opportunities through the Rheinmetall Academy, and a comprehensive benefits package, including an employee stock purchase program and relocation support, making this a unique opportunity to advance your career in a high-tech industrial setting.
Required Skills
Education
University degree in Computer Science, Machine Learning, Artificial Intelligence, Software Engineering, or a comparable qualification.
Experience
- Several years of professional experience in MLOps, Platform Engineering, or DevOps environments supporting machine learning systems.
- Proven experience in the deployment and operation of machine learning models within production environments.
- Practical experience in optimizing machine learning models for efficient inference and hardware utilization.
- Experience in managing machine learning artifacts and model versioning across various system environments.
Languages
Additional
- Work permit for Germany required. Location constraint: Bremen.
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