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

> Müller`s Solutions · Dubai, United Arab Emirates · — · Posted 2026-01-29

**Workplace:** on_site

## 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.

## Requirements

**What should you have to fit in this role?**

### **Technical Requirements**

### **AI / MLOps Stack**

-   **Proficient experience with the NVIDIA Enterprise AI Stack**
-   **Familiarity with Ubuntu Linux**
-   **Experience with Kubernetes**
-   **Knowledge of Kubeflow / MLflow**
-   **Experience with QFLOW (an open-source AI data pipeline management tool)**

### **Programming & Automation**

-   **4–6 years of practical experience in:**

-   **Python**
-   **Jupyter Notebook / JupyterLab**

-   **Competence in writing, testing, and maintaining operational scripts and AI workflows.**

### **Infrastructure Experience**

Practical experience with enterprise infrastructure, encompassing:

-   **Dell PowerScale** (5 nodes)
-   **XE Server** (1 node)
-   **Dell R570 Servers** (5 nodes)
-   **Dell Network Switches** (2 switches)
-   **GPU-based AI servers** (in a small-scale environment)

### **Environment Overview**

-   **Initial implementation of AI**
-   **Compact configuration:**

-   **1 GPU server**
-   **1 PowerScale**
-   **5 control plane servers**

-   Opportunity to shape best practices from the ground up

**To succeed in this role, it's nice to have:**

•   Familiarity with data frameworks like Apache Spark or Hadoop for data processing.

•   Understanding of ML model monitoring and logging practices to ensure system reliability.

•   Experience with security best practices in AI systems.

## Apply

[Apply at Müller`s Solutions](https://apply.workable.com/mullers-solutions-1/j/1001C35DEE/apply)

---
Powered by [Workable](https://www.workable.com)