Developer developer remote developer developer remote developer developer remote senior remote Jobs

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. Recruiter Jack Steib jack.steib@entrust.com Show less

Why Join Prowinch? Lead mission-critical projects that bridge software and industrial hardware.

Continuously improve test coverage, frameworks, and processes. Requirements: 1–2 years of experience in test automation.

We combine knowledge and many years of experience in e-commerce with flat hierarchies and a highly motivated team. We are seeking a (Senior) Business Automation Developer (all genders) for our growing Business Automation team where you can collaborate with cross-departmental teams to automate processes, leveraging AI and bleeding-edge tools to support our growing business.

We combine knowledge and many years of experience in e-commerce with flat hierarchies and a highly motivated team. We are seeking a (Senior) Business Automation Developer (all genders) for our growing Business Automation team where you can collaborate with cross-departmental teams to automate processes, leveraging AI and bleeding-edge tools to support our growing business.

We offer printed and digital learning materials as well as digital learning and teaching platforms for primary, secondary, and vocational education. You’ll help us build and improve an educational app that truly enhances the learning experience.

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. 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 Required 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.

or MSc) in computer science, machine learning, AI, or related fields, or equivalent experience in designing, building, and evaluating machine learning systems. Senior AI Engineer NLP Large Language Models Machine Learning Remote, US Show less

or MSc) in computer science, machine learning, AI, or related fields, or equivalent experience in designing, building, and evaluating machine learning systems. Senior AI Engineer NLP Large Language Models Machine Learning Remote, US Show less

Data Management: Ensure data quality through rigorous verification and cleaning processes. Data Quality Management: Experience in verifying and ensuring data quality through comprehensive data cleaning processes.

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. 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 Required 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.

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. 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 Required 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.