Platform Engineer – AI / MLOps

Overview

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).

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

Seniority level

Employment type

Job function

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