{"id":3224235,"url":"https://alion.io/job/yulcom-technologies-senior-computer-vision-and-medical-image-processing-engineer-canada","title":"Senior Computer Vision and Medical Image Processing Engineer – Canada","company":{"id":2683021,"name":"Yulcom Technologies","domain":"yulcom-technologies.com","url":"https://alion.io/company/yulcom-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":43,"open_postings":41,"ghost_share":0.951,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2023-12-27T17:38:41Z","employer_posted_date":"2023-12-28","last_verified_at":"2026-10-31T17:33:46Z","board_verified":true,"closed_at":null,"days_open":1039,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1038},"description":"Job Title: Senior Computer Vision and Medical Image Processing Engineer\nJob Type: Full-time\nLocation: Montreal\nStart date: January, 2024\nAbout Us:\nYULCOM Technologies is a Montreal-based multinational consulting firm that specializes in information technology, systems integration, and artificial intelligence solutions. YULCOM specializes in web design, software development, web packages and web and mobile applications. It supports its customers in integrating the best digital technologies and improving their process management in North America, Europe, Africa and Asia.\nResponsibilities:\n1-Develop and Implement Computer Vision Algorithms:\nDesign and implement advanced computer vision algorithms for the analysis of medical images, with a focus on X-ray and ultrasound modalities.\nUtilize machine learning techniques for image segmentation, feature extraction, and pattern recognition.\nImplement algorithms specifically geared towards finding and characterizing nodules to facilitate clinical interpretation of medical images.\nCollaborate closely with medical professionals to understand clinical needs and ensure that the algorithms contribute to accurate and meaningful findings.\nX-ray and Ultrasound Image Processing:\nSpecialize in the analysis and processing of X-ray and ultrasound images.\nDevelop and optimize image processing pipelines for enhancing image quality, artifact reduction, and extracting relevant information.\nProposition for a PACS Integration\nPossess expertise in integrating computer vision solutions with PACS (Picture Archiving and Communication System) technology.\nCollaborate with the IT team to ensure seamless integration into existing healthcare systems, emphasizing data warehousing best practices.\nEdge and Cloud Integration:\nImplement solutions for both edge and cloud-based environments, ensuring efficient processing and storage of medical imaging data.\nArchitect and optimize image processing workflows for edge devices and cloud platforms.\nData Warehousing:\nDesign and implement robust data warehousing solutions for medical imaging data, ensuring scalability, security, and accessibility.\nCollaborate with the data engineering team to establish best practices for storing and retrieving medical images.\nAlgorithm Optimization:\nOptimize algorithms for real-time processing and large-scale datasets, ensuring efficient implementation on various platforms.\nCollaborate with hardware and software teams for seamless integration.\nResearch and Development:\nStay current with the latest advancements in computer vision and medical image processing, with a focus on edge and cloud technologies.\nLead research initiatives to explore and implement innovative solutions specific to X-ray and ultrasound imaging, PACS integration, and data warehousing.\nCross-functional Collaboration:\nCollaborate with multidisciplinary teams, including software engineers, data scientists, and medical professionals, to understand requirements and refine solutions.\nDocumentation and Reporting:\nDocument algorithms, methodologies, and results comprehensively.\nPrepare and deliver reports and presentations to stakeholders.\nQualifications:\nMaster's or Ph.D. in Computer Science, Electrical Engineering, or a related field.\nProven experience in developing and implementing computer vision algorithms, with a focus on X-ray and ultrasound image processing.\nStrong programming skills in languages such as Python, C++, or Java.\nProficiency in using popular computer vision and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch).\nExperience with PACS technology integration.\nExperience with data warehousing for medical imaging data.\nFamiliarity with edge and cloud computing technologies.\nStrong problem-solving skills and the ability to work independently and as part of a team.\nExcellent communication and collaboration skills.\nPreferred Skills:\nFamiliarity with regulatory standards and compliance in the healthcare industry.\nKnowledge of GPU programming for parallel 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