Federated ML Engineer: Distributed Training & Fine-Tuning

N/A is seeking a Machine Learning (ML) / Federated-Learning Engineer to develop and support ML solutions in controlled, distributed environments. You will drive model training, adaptation, and federated workflows across the ML lifecycle, ensuring compliance with security constraints and integration with existing platforms.

The role requires hands-on ML engineering experience, strong Python and ML framework skills, and ability to collaborate with data scientists, cloud engineers, and

The Federated ML Engineer:
Distributed Training & Fine-Tuning position in the IT & Technology, Engineering field is open for applications.

This opportunity is part of our work in IT & Technology, Engineering.

The advertised compensation is 120..

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Federated ML Engineer:
Distributed Training & Fine-Tuning role in the description above.