AI Engineer
Role Overview
Build, maintain, and troubleshoot an advanced computing environment spanning Dell/NVIDIA hardware and containerized platforms.
The infrastructure supports mission-critical applications and AI/ML workloads.
Key Skills for This Role
Full Job Posting
About the role
Build, maintain, and troubleshoot an advanced computing environment spanning Dell/NVIDIA hardware and containerized platforms.
The infrastructure supports mission-critical applications and AI/ML workloads.
Work location
- The posting specifies an in-person work location.
Pay
- Pay is up to AED 30,000 per month.
Responsibilities
- Deploy and manage Dell PowerEdge/XE compute infrastructure, OpenManage Enterprise clusters, and NVIDIA GPU infrastructure.
- Administer PowerScale storage and NFS/S3 delivery; protect VMs and Kubernetes clusters with PPDM or equivalent backup solutions.
- Integrate Kubernetes storage with CSI drivers and administer, scale, and optimize OpenShift and Linux environments.
- Deploy and maintain containerized applications and platform components across Kubernetes and OpenShift.
- Provide advanced support and troubleshooting across compute, storage, containers, and AI infrastructure.
- Use Dell and Red Hat documentation to keep up with platform updates, patches, and best practices.
Required qualifications
- Hands-on bare-metal Dell PowerEdge/XE deployment and OpenManage Enterprise experience.
- Strong Red Hat OpenShift and Linux administration and troubleshooting expertise.
- Enterprise NVIDIA GPU infrastructure management experience.
- Deep enterprise storage experience with PowerScale, NFS/S3, and Kubernetes CSI driver integration.
- Hands-on enterprise VM and container backup and recovery experience with PPDM or a similar solution.
- Strong troubleshooting across hardware, network, operating system, storage, and containers.
Preferred qualifications
- Red Hat OpenShift AI (RHOAI) experience.
- NVIDIA GPU Operator experience and AI/ML workload deployment on Kubernetes.
- Understanding of MLOps frameworks and AI platform operations.
- Experience supporting mission-critical, highly available production environments.
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