Role overview
You will help support and run machine learning applications on the CAFEIN platform at CERN. Your work will focus on keeping ML systems running smoothly, reliably, and at scale. This junior role involves learning and applying MLOps and DevOps practices, such as turning trained models into production services, managing data and training pipelines, and helping integrate federated learning tools across distributed systems.
What you'll work on
- Implement machine learning algorithms in Python using TensorFlow, PyTorch, or scikit‑learn.
- Develop and deploy federated learning software.
- Support the CAFEIN microservices platform using Kubernetes.
- Manage data flows between databases and backend systems using tools like Spark.
- Perform data analysis and EDA to identify insights and new use cases.