Machine Learning Engineer
Core
Design and develop CERN's central machine-learning platform for experiments, campus services, and user communities, including support for GPU- or accelerator-based training and inference workloads.
Role type
Machine Learning Engineer (MLOps & Platform)
Builds
Central ML platform, open-source AI/MLOps ecosystem, and model/agent lifecycle management tools
Domain
High-energy physics research infrastructure / Cloud-native AI
Deliverable
production ML models
Required skills
Machine learning systems design, MLOps, Kubernetes, container orchestration, observability, model lifecycle management, GPU/accelerator workload optimization, Linux system administration, open-source ecosystem familiarity
Preferred skills
Emerging ICT technology selection, software life-cycle tool application
Technologies
Kubernetes, containers, Linux, GPU accelerators
Responsibilities
Design and develop the platform and support activities for CERN's Next Generation Triggers project; Identify, prototype, and benchmark AI use cases across heterogeneous computing infrastructures; Build and maintain an open-source AI/MLOps ecosystem; Operate machine-learning services and support GPU- or accelerator-based training and inference workloads
Seniority
Junior (Max 2 years experience)
