Computer vision scientist e ai engineer
9 ore fa
Randstad Digital Talent Services, a division specialized in the recruitment, selection, and training of ICT professionals, is looking on behalf of an international Software House - a leading Company in the development of intelligent AI-based medical devices - for a:
Senior AI Engineer / Computer Vision Scientist
The selected candidate will join a team of senior professionals with proven experience in Machine Learning, Deep Learning, and Artificial Intelligence.
The ideal profile combines a strong scientific background with an engineering mindset, capable of bridging advanced research and practical application.
A direct employment contract with the company (governed by the Italian National Collective Agreement for the Trade sector - CCNL Commercio)
A gross annual salary commensurate with the candidate's seniority and experience
€Ongoing training opportunities and an annual salary review
Master's degree in Computer Science, Computer Engineering, Physics, Mathematics, or a related field
Ph D strongly preferred, particularly in Computer Vision, Machine Learning, or Medical Imaging
5+ years of experience in Deep Learning and Computer Vision, gained in academic or industrial environments
Proven experience with object detection, image/video segmentation, tracking, and classification tasks
Excellent command of Python and Py Torch; familiarity with software engineering practices (Git/Git Lab, code review)
Documented track record of scientific publications, patents, or contributions to public repositories
Fluent English (C1 level), both written and spoken
Experience with medical image or video analysis.
Knowledge of transformer-based architectures for vision and video understanding
Experience with self-supervised learning or large-scale distributed training
Understanding of 3 D reconstruction, depth estimation, or geometric analysis from monocular video
Ti preghiamo di leggere l'informativa sulla privacy Randstad ( ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).
Design and implement Deep Learning models for real-time analysis of endoscopic videos (detection, segmentation, tracking, classification)
Plan and conduct rigorous experiments, defining validation protocols on large-scale video datasets
Collaborate with interdisciplinary teams (AI scientists, software and hardware engineers, medical professionals) to integrate AI solutions into existing medical devices
Document results, analyses, and experiments through technical reports, presentations, and scientific publications
Ensure code quality and reproducibility through reviews, best practices, and version control (Git Hub/Git Lab)
Contribute to the scientific growth of the team by staying updated on the latest techniques in computer vision and medical imaging
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