Computer Vision
Pubblicato il 08-10-2026 - Cosmo Group in Milano
We are looking for a highly skilled Computer Vision & AI Scientist to join our dynamic AI team at a leading medical device company. You will help advance the state of the art in computer vision and deep learning for medical endoscopy, contributing to AI products already deployed in hospitals worldwide and used on millions of patients. If you have a strong background in Computer Vision and Deep Learning, a passion for innovation, and the drive to contribute to developing models that impact clinical practice globally, this role is for you.
KEY RESPONSIBILITIES
- Actively collaborate with other AI scientists and cross-functional teams to develop and implement AI solutions for medical endoscopy.
- Research, implement, train and evaluate advanced computer vision and deep learning approaches for endoscopy video analysis.
- Design rigorous experimental protocols and benchmark approaches efficiently on large-scale video datasets.
- Report findings clearly and effectively through internal reports, presentations, and technical documentation.
- Stay up to date with the latest advancements in computer vision, deep learning, and medical image analysis, and support the team's continuous learning and scientific publications in top-tier conferences and journals. Support the integration of developed AI models into existing medical devices and systems.
- Contribute to internal code quality through code reviews and reproducible research practices.
QUALIFICATIONS, SKILLS AND ABILITIES
- Master's degree in Computer Science, Engineering, Physics, Math or related; PhD strongly preferred (CV/ML/Medical Imaging).
- 5+ years of hands-on experience in deep learning and computer vision (industry or academia); at least part of it on detection/segmentation, tracking and classification problems.
- Strong proficiency in Python and PyTorch; good software engineering practices (GitHub/Gitlab).
- Proven track record of working on innovative computer vision projects resulting in scientific publicatio