Computer Vision Scientist E Ai Engineer
1 settimana 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. This 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. What we offer: 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 €8 meal vouchers for each day worked, including days worked remotely (from home) Ongoing training opportunities and an annual salary review Office: Rome or Lainate (MI) Retribuzione annua: 65000€ - 80000€ esperienzada 6 a 10 anniRequired Skills and Qualifications Master’s degree in Computer Science, Computer Engineering, Physics, Mathematics, or a related field PhD 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 PyTorch; familiarity with software engineering practices (Git/GitLab, code review) Documented track record of scientific publications, patents, or contributions to public repositories Fluent English (C1 level), both written and spoken Nice to Have 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 3D reconstruction, depth estimation, or geometric analysis from monocular video Participation in scientific conferences or publications (CVPR, ICCV, MICCAI) La ricerca è rivolta ai candidati ambosessi (L.903/77). Ti preghiamo di leggere l'informativa sulla privacy Randstad ( ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR). Main Responsibilities 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 (GitHub/GitLab) 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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