Stage en Deep Learning - Machine Learning H/F
Core
Applying Prototypical Networks and few-shot learning to improve waste classification in intelligent sorting machines.
Role type
Intern, deep learning researcher
Builds
Image classification models for waste sorting
Domain
Recycling industry + computer vision
Deliverable
production ML models
Required skills
Python, PyTorch, NumPy, scikit-learn, deep learning, few-shot learning, image classification, linear algebra
Responsibilities
Study few-shot learning methods for image classification, implement and adapt Prototypical Networks models, evaluate model performance on real datasets, optimize hyperparameters, write a technical report and present results
