PRandstad 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: /ppbr/ppb Senior AI Engineer / Computer Vision Scientist /b /ppbr/ppThe selected candidate will join a team of senior professionals with proven experience in Machine Learning, Deep Learning, and Artificial Intelligence. /ppThe ideal profile combines a strong scientific background with an engineering mindset, capable of bridging advanced research and practical application. /ppThis is a role for someone driven by technological innovation, eager to collaborate in multidisciplinary teams, and motivated to see their work evolve into real clinical solutions that improve patients’ lives. /ppbr/ppbMain Responsibilities /b /pulliDesign and implement Deep Learning models for real-time analysis of endoscopic videos (detection, segmentation, tracking, classification) /liliPlan and conduct rigorous experiments, defining validation protocols on large-scale video datasets /liliCollaborate with interdisciplinary teams (AI scientists, software and hardware engineers, medical professionals) to integrate AI solutions into existing medical devices /liliDocument results, analyses, and experiments through technical reports, presentations, and scientific publications /liliEnsure code quality and reproducibility through reviews, best practices, and version control (GitHub/GitLab) /liliContribute to the scientific growth of the team by staying updated on the latest techniques in computer vision and medical imaging /li /ulpbr/ppbRequired Skills and Qualifications /b /pulliMaster’s degree in Computer Science, Computer Engineering, Physics, Mathematics, or a related field /liliPhD strongly preferred, particularly in Computer Vision, Machine Learning, or Medical Imaging /lili5+ years of experience in Deep Learning and Computer Vision, gained in academic or industrial environments /liliProven experience with object detection, image/video segmentation, tracking, and classification tasks /liliExcellent command of Python and PyTorch; familiarity with software engineering practices (Git/GitLab, code review) /liliDocumented track record of scientific publications, patents, or contributions to public repositories /liliFluent English (C1 level), both written and spoken /li /ulpbr/ppbNice to Have /b /pulliExperience with medical image or video analysis. /liliKnowledge of transformer-based architectures for vision and video understanding /liliExperience with self-supervised learning or large-scale distributed training /liliUnderstanding of 3D reconstruction, depth estimation, or geometric analysis from monocular video /liliParticipation in scientific conferences or publications (CVPR, ICCV, MICCAI) /li /ulpbr/ppbWhat we offer: /b /pulliA direct employment contract with the company (governed by the Italian National Collective Agreement for the Trade sector - CCNL Commercio) /liliA gross annual salary commensurate with the candidate's seniority and experience /lili€8 meal vouchers for each day worked, including days worked remotely (from home) /liliOngoing training opportunities and an annual salary review /liliOffice: Rome or Lainate /li /ulpbr/pp"This search is open to candidates of both sexes (Italian Law 903/77). Please read the privacy notice regarding data protection (GDPR) on the website /p