MLOps Engineer (m/f/d)

• Deploy and operate machine learning models in standardized and scalable production environments
• Implement robust traffic handling and autoscaling mechanisms to ensure reliable and efficient model serving
• Design and manage advanced deployment strategies that reduce risk during model releases and updates
• Optimize inference performance by improving hardware utilization and minimizing latency for production workloads
• Package and release machine learning models in fully containerized and version-controlled environments
• Ensure reproducibility and integrity of model artifacts across development, testing, and production systems
• Establish comprehensive monitoring for inference performance, data quality, and model behavior in production
• Support governance and compliance by maintaining traceable release artifacts, validation results, and audit-ready documentation

• Successfully completed studies in computer science, machine learning, artificial intelligence, software engineering, or a comparable qualification.
• Several years of professional experience in machine learning operations, platform engineering, or DevOps environments supporting machine learning systems.
• Strong experience deploying and operating machine learning models in production environments.
• Solid knowledge of containerized workloads and orchestration platforms for scalable model deployment.
• Experience working with model versioning systems and managing machine learning artifacts across environments.
• Practical experience optimizing machine learning models for efficient inference and hardware utilization.
• Structured and analytical approach to solving complex operational challenges in machine learning systems.
• Strong collaboration and communication skills when working with engineering, data science, and platform teams.

Your strengths and experience count at Rheinmetall, even if you may not meet all of the listed requirements. We look forward to receiving applications from candidates (m/f/d) who are keen to make a difference and take on responsibility. We value individuality and equal opportunities. Severely disabled applicants (m/f/d) will be given special consideration if they are equally qualified.

An unserem Standort in Bremen bieten wir Ihnen:

• Betriebliche Altersvorsorge
• Aktienkaufprogramm
• 30 Urlaubstage
• Zugang zu den Corporate Benefits
• Deutschlandticket
• Umzugsunterstützung
• VIVA Familienservice
• Individuelle und vielfältige externe sowie interne Weiterentwicklungsmöglichkeiten u.a. in der Rheinmetall Academy
• Professioneller Einarbeitungsprozess begleitet durch ein digitales Onboarding

Zuständige/r Ansprechpartner/in: Özge Demirkaya

Für Fragen zu Ihrer Bewerbung, nutzen Sie bitte das Kontaktformular.