Senior MLOps Engineer (m/f/d)

Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data \& AI, Communication, and Workspace.

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group.

The Impact You Will Create

• Build \& Maintain ML Infrastructure:

Design, implement, and maintain our cloud-based infrastructure for large-scale computer vision model training and data management.

• Automate ML Pipelines:

Engineer and deploy automated, production-grade ML pipelines for seamless data processing, model training, validation, and deployment.

• Enable AI/ML Teams:

Collaborate directly with Data Scientists and AI Engineers to streamline and accelerate the entire model development lifecycle.

• Ensure Scalability \& Reliability:

Architect and operate robust, secure, and efficient infrastructure for our large-scale AI solutions.

Experience And Skills You Will Need

• Production MLOps Experience:

Strong, relevant work experience operating and scaling machine learning systems and AI workflows in a production environment.

• Kubernetes Mastery:

Deep, hands-on proficiency with Kubernetes for scheduling and scaling ML training jobs and complex workloads.

• ML Pipeline Expertise:

Proven ability to build, manage, and troubleshoot ML pipelines and serving infrastructure. Direct experience with Argo Workflows and ArgoCD is an advantage.

• MLOps Tooling:

Proficiency with modern MLOps tools, especially MLFlow for experiment tracking and model management.

• Infrastructure as Code (IaC):

Solid practical experience managing cloud infrastructure using Terraform.

• Pragmatic Problem-Solver:

Demonstrated ability to quickly and independently solve complex technical challenges with reliable, scalable solutions.

Our offer

• 25 days annual leave \+ 1 day annual leave after 5 years in the company
• Meal tickets
• Additional health insurance
• A good work life balance with flexible working time
• A pleasant and diverse environment with regular events, team buildings and stimulating activities
• A huge array of tools \& technologies available on the spot and ready for a steady personal development
• Variety of opportunities with one of the strongest and largest retail companies in the world
• You will be part of an international team composed of people from different countries and backgrounds
• Onboarding and support/mentoring