Dell AI Infrastructure & MLOps Engineer - (6 Month Only)
Location: Dubai, Dubai, United Arab Emirates
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.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say