Platform Engineer – AI / MLOps
Astek Middle EastMedina Province, Saudi Arabia16 days ago
Job description5 Years of Experience 2+ years of solid hands‑on experience with Kubernetes (GKE, OpenShift) and containerized workloads. Strong knowledge of MLOps practices (model serving, pipelines, monitoring, model lifecycle management). Experience with Helm, GitOps (ArgoCD), and CI / CD pipelines . Familiarity with GPU workloads and cloud platforms (Google Cloud preferred, AWS / Azure a plus). Solid understanding of cloud-native observability and security practices . Strong problem‑solving skills and ability to work in a cross‑functional team environment.
We are seeking a skilled Platform Engineer – AI / MLOps to join our Platform Team. The successful candidate will focus on deploying, scaling, and supporting AI / MLOps workloads in production environments. You will collaborate closely with AI engineers and data scientists to ensure secure, reliable, and cost-effective AI deployments on Kubernetes clusters (GKE, OpenShift).
Key Responsibilities
- Deploy, manage, and optimize AI / MLOps workloads (training, inference, pipelines) on Kubernetes (GKE, OpenShift).
- Build and maintain Helm charts, Kubernetes manifests, and GitOps pipelines (ArgoCD) for AI services.
- Optimize GPU-enabled workloads for performance, scalability, and cost-efficiency.
- Implement and support CI / CD and MLOps workflows to automate model deployment, versioning, and monitoring.
- Ensure observability, security, and compliance of deployed AI workloads.
- Collaborate with AI engineers and data scientists to translate research and business requirements into production-ready deployments.
- Troubleshoot and resolve production issues to maintain high availability and reliability.
Qualifications
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Engineer • Medina Province, Saudi Arabia
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