Stage - Computer Vision Data Drift (H/F)

Internship exploring data drift in computer vision for non-destructive control. The intern will research, implement, and evaluate algorithms to detect domain shifts and adapt models. Work closely with data scientists and ML engineers on real-world datasets.

• Conduct bibliographic research on data drift and identify innovative methods
• Propose and implement new preprocessing and evaluation code
• Understand and process provided image datasets
• Develop, train, and test computer vision algorithms using deep learning, machine learning, or statistical methods
• Quantitatively and qualitatively analyze data and model predictions

• Enrolled in Bac+4/5 in Computer Science, Computer Vision, AI, or similar
• Strong Python programming skills
• Specialization or project experience in learning models applied to images or structured data
• Rigorous, curious, autonomous, and team-oriented
• Eager to learn in a demanding technical environment