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 RequirementsAI / 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)
- 4–6 years of practical experience in:
- Python
- Jupyter Notebook / JupyterLab
- Competence in writing, testing, and maintaining operational scripts and AI workflows.
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)
- 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.
Top Skills
What We Do
At Müller's Solutions, we believe in empowering businesses to leap forward, and our mission is to provide top-tier tech services that fuel your growth. Our services include SAP Implementation & Support, Tech Recruitment, and Tech Outsourcing. We are your dedicated partners, providing a unique blend of technical expertise, global reach, and a commitment to exceptional service. Global Reach: With offices in Berlin, Riyadh, Dubai, and Cairo, our global presence is more than just a point on a map. It's the backbone of our ability to deliver the best solutions and talent to you, wherever you are. Our geographical dispersion grants us access to a vast and diverse talent pool across Europe, Asia, Africa, and the Middle East. This means we can swiftly and efficiently connect you with the right talent and the right solutions, no matter where you are.
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