As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, this role is primarily operations-focused (90%) , with hands‑on involvement in implementation, configuration, and setup of AI infrastructure and MLOps workflows.

You will play a key role in managing, operating, and guiding the deployment of a strategic AI environment , working closely with the customer as a technical advisor and hands‑on engineer.

What about the role responsibilities?

• Operate and maintain AI infrastructure and MLOps platforms in a production environment.
• Monitor, manage, and troubleshoot Kubernetes-based AI workloads.
• Perform Acceptance Testing Planning and Execution for AI infrastructure and platforms.
• Ensure stability, performance, and availability of AI systems.
• Support day‑to‑day operational tasks across compute, storage, and networking layers.
• Install and conf...