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