Machine Learning Engineer (TE-DPS-AIM-2026-223-LD)
- Inglés
- obligatorio
- Formación
- Máster o experiencia equivalente
Help shape the future of healthcare AI, where innovation meets trust.
At […], you will develop cutting-edge AI solutions that help prevent disease, improve prediction, and deliver trustworthy healthcare insights. You will work on technologies that make it possible to unlock the value of sensitive data without ever moving or exposing it, enabling collaboration where privacy is essential.
As part of this role, you will help develop and deploy CAFEIN®, […]'s federated AI platform powering major European healthcare initiatives, including UMBRELLA and AIM-SAFE. You will design advanced federated learning algorithms and secure distributed AI systems that allow models to learn from data across institutions while keeping the data exactly where it belongs.
Recognised as a lighthouse example of "data stays, AI collaborates", CAFEIN® combines state-of-the-art federated learning with […]'s unique strengths in trust, open science, GDPR compliance, and international collaboration. The result is a pioneering framework that is redefining how AI can advance healthcare while safeguarding privacy.
Join us to build AI that learns globally, protects locally, and improves lives.
- Develop and test federated learning software and algorithms.
- Implement and evaluate privacy-preserving techniques, including differential privacy and homomorphic encryption.
- Develop tools to optimise data ingestions and assess the quality of data and images.
- Design and run machine-learning experim