AI Platform Engineer
Beverwijk, Noord-Holland, Netherlands
EUR 42K-66K (estimate) Mid-level Full Time
Tasks
- Build Kubernetes based AI environments for training deployment and runtime
- Deploy and operate AI workloads in production
- Design AI and machine learning platform infrastructure
- Implement governance and security controls for AI
- Integrate AI tools into client environments
- Manage model training and inference pipelines
- Monitor and troubleshoot AI platforms
- Support scalable secure AI services
- Use GitOps to automate infrastructure and deployments
Perks/Benefits
- Access to AI Lab
- Certification support
- Claude subscription
- Hybrid work model
- Onboarding program
- Professional development
Skills/Tech-stack
AI Enterprise | Ansible | ClearML | Container Orchestration | FluxCD | GPU Operator | GPU infrastructure | GitOps | Harbor | JWT | Kubeflow | Kubernetes | LLM serving | Language Models | Large Language Models | Linux | MLOps | MLflow | NVIDIA AI Enterprise | NVIDIA GPU | NVIDIA GPU Operator | Networking | Nvidia AI | OAuth | OPA Gatekeeper | OpenShift | RAG | RBAC | Security | Storage | Terraform | VMware | YAML
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | MLOps Engineer | Platform | Platform Engineer
Regions
Countries
States
Cities
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