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Niche MLOps role with specialized GPU/OpenShift skills and mid-level experience at a lesser-known company.
Highly domain-specific MLOps and GPU inference skills limit cross-industry transferability.
Multiple mandatory technical requirements (OpenShift, NVIDIA GPUs, LLMOps) and explicit years make shortlisting highly strict.
Deploy, integrate, and operationalize enterprise Generative AI platforms within secure, on-premise, air-gapped banking environments.
Manage and optimize AI workloads on Red Hat OpenShift and Kubernetes including containerization, GPU operation, and LLM inference performance.
Collaborate closely with client IT, infrastructure, security, and AI teams to troubleshoot and ensure production-ready, secure deployments.
4+ years of experience in Software Engineering, DevOps, Platform Engineering or related fields.
2+ years of hands-on experience in MLOps / LLMOps.
Strong experience with Red Hat OpenShift, Kubernetes, NVIDIA GPUs and NVIDIA GPU Operator.
Work location: Riyadh, Saudi Arabia; Full-time, On-site role.
Deep expertise deploying and tuning enterprise AI platforms in regulated or secure (air-gapped) environments, preferably in banking or BFSI sectors.
Technical proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, ArgoCD, and OpenShift Pipelines and with GPU performance tuning technologies.
Proven ability to work directly with client security, IT, and infrastructure teams to resolve complex deployment blockers and ensure secure, scalable solutions.