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Infrastructure Engineer – Machine Learning / AI
10 days onsite onboarding in Veldhoven, quarterly visits for events
12 Month contract
€435 Euros per day
Education and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 5–10 years of experience in infrastructure engineering, preferably with a focus on AI/ML.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Expertise in Infrastructure-as-Code (IaC) tools like Terraform or Ansible and CI/CD pipelines.
- Experience with High Performance Compute (HPC) infrastructure.
- Knowledge of GPU-accelerated compute environments and AI-specific tools such as NVIDIA Triton, Kubeflow, or MLFlow.
- Proficiency in containerization and orchestration tools (Docker, Kubernetes).
- Optional: Experience with Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, or Scikit-learn.
- Strong problem-solving skills and ability to work effectively in agile, cross-functional teams.
Technical Skills
- Cloud Platforms: Azure, AWS, Google Cloud
- IaC & Automation: Terraform, Ansible, CI/CD pipelines
- High Performance Computing: GPU-accelerated compute, HPC clusters
- AI/ML Tools: NVIDIA Triton, Kubeflow, MLFlow
- Containerization & Orchestration: Docker, Kubernetes
- Programming & ML Frameworks: Python (optional), PyTorch, TensorFlow, HuggingFace, Scikit-learn
Key Skills
Ranked by relevance
tensorflow
terraform
kubeflow
ansible
pytorch
python
docker
cicd
aws
containerization
machine learning
cloud
ai
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Login to Apply
- Posted
- Dec 23, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Veldhoven
- Company
- Robson Bale
Industries
Information Technology & Services
Categories
Information Technology
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