MLOps / ML Platform Engineer | Netherlands

Location: Eindhoven, Netherlands

Contract: 6 months to 1year (can be renewable)

Start Date: ASAP

Experience: 6+ years

Rate: TBN

Role Overview

We are looking for a DevOps / Cloud Engineer with strong AI/ML infrastructure experience to support R&D and engineering workloads. The role focuses on GPU-accelerated environments, Kubernetes orchestration, and AI platform tooling in a cloud ecosystem.

Key Responsibilities

• Build and manage cloud infrastructure for AI/ML workloads
• Deploy and operate GPU-accelerated compute environments
• Design and manage Kubernetes-based high-performance compute clusters
• Implement MLOps tooling and AI model deployment pipelines
• Automate infrastructure using Infrastructure-as-Code
• Integrate AI platforms with engineering, simulation, or PLM environments

Essential Skills

• 8–10 years experience in DevOps / Cloud / SRE
• Cloud platforms: Azure, AWS, or Google Cloud
• Container orchestration: Kubernetes
• AI / ML infrastructure tools:
• NVIDIA Triton
• Kubeflow
• MLflow
• Programming: Python, Bash scripting
• Infrastructure-as-Code: Terraform, Ansible
• Experience with GPU-based workloads and high-performance computing environments

Key Competencies

• Microsoft Azure
• Kubernetes
• Terraform
• Ansible
• NVIDIA AI ecosystem