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Dell AI Infrastructure & MLOps Engineer - (6 Month Only)

Yesterday 2026/08/28
Other Business Support Services
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Job description

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 configure NVIDIA Enterprise AI Stack (NVAI).
  • Configure and manage MLOps platforms such as Kubeflow and MLflow.
  • Assist in setting up end-to-end AI workflows, including data pipelines.
  • Support the initial implementation phase of the AI environment.
  • Act as a technical guide and advisor to the customer during the early stages of their AI adoption.
This job post has been translated by AI and may contain minor differences or errors.
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