AI Infrastructure & MLOps Engineer - Kubernetes, Kubeflow

Müller`s Solutions

United Arab Emirates

On-site

AED 334,800 - 535,680

Full time

14 days+

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Job summary

Müller’s Solutions in the United Arab Emirates seeks an AI Infrastructure & MLOps Engineer for a 6‑month contract. The role is operations‑driven (90%), with hands‑on implementation, configuration, and setup of AI infrastructure and MLOps workflows.

You will guide deployment, monitor AI workloads, and collaborate closely with the customer as a technical advisor. Responsibilities include operating AI infra, managing Kubernetes workloads, testing AI platforms, ensuring system stability, and

Qualifications

4–6 years of hands-on Python experience.
Experience with Jupyter Notebook/JupyterLab environments.
Experience deploying AI infra and MLOps workflows.
Proficient in writing and maintaining operational scripts.
Experience with Kubernetes based AI workloads.

Responsibilities

Operate and maintain AI infrastructure and MLOps platforms in a production environment.
Monitor, manage, and troubleshoot Kubernetes-based AI workloads.
Perform testing planning and execution for AI infrastructure.
Ensure stability, performance and availability of AI systems.
Support day-to-day tasks across compute, storage and networking.
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 and data pipelines.
Support initial implementation phase of the AI environment.
Act as technical advisor to the customer during early AI adoption.