AI Infra & MLOps Engineer — Production Ops

Müller`s Solutions; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology solutions provider is seeking an experienced AI Infrastructure & MLOps Engineer for a 6-month contract based in Dubai. The role involves managing AI infrastructure, troubleshooting Kubernetes workloads, and supporting MLOps platforms. Ideal candidates should have 4–6 years of experience in Python, expertise with NVIDIA AI Stack, and familiarity with enterprise infrastructure. Join us to shape best practices and work closely with customers during AI implementation.

Qualifications

• 4–6 years of practical experience with Python and Jupyter environments.
• Competence in writing, testing, and maintaining scripts and AI workflows.
• Practical experience with enterprise infrastructure.

Responsibilities

• Operate and maintain AI infrastructure and MLOps platforms.
• Monitor and troubleshoot Kubernetes-based AI workloads.
• Perform Acceptance Testing for AI infrastructure.

Skills

Proficient experience with NVIDIA Enterprise AI Stack

Familiarity with Ubuntu Linux

Experience with Kubernetes

Knowledge of Kubeflow/MLflow

Experience with QFLOW

Python

Jupyter Notebook/JupyterLab

Tools

Dell PowerScale

Dell R570 Servers

Dell Network Switches

Job description

A technology solutions provider is seeking an experienced AI Infrastructure & MLOps Engineer for a 6-month contract based in Dubai. The role involves managing AI infrastructure, troubleshooting Kubernetes workloads, and supporting MLOps platforms. Ideal candidates should have 4–6 years of experience in Python, expertise with NVIDIA AI Stack, and familiarity with enterprise infrastructure. Join us to shape best practices and work closely with customers during AI implementation.