Dell Ai Infrastructure & Mlops Engineer (6 Month Only)

Dubai, DU, AE, United Arab Emirates

Job Description

As an AI Infrastructure & MLOps Engineer at Muller'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.

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Job Detail

  • Job Id
    JD2272154
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Dubai, DU, AE, United Arab Emirates
  • Education
    Not mentioned