Machine learning engineer - medical imaging (Roma)

Machine learning engineer - medical imaging (Roma)

09 ago
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Altro
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Roma

09 ago

Altro

Roma

Machine Learning Engineer - Medical Imaging Career path towardLead ML Engineer or Head of AI within 2-3 yearsIndustry Sectors Healthcare & Medical, Information Technology, Research & DevelopmentTechnologies you'll work with powered by Job NautilusSalary 60,000 - 80,000 EUR/year + equityJob Description An innovative company in the digital health sector is building the next generation of AI-assisted diagnostic tools and is looking for a Machine Learning Engineer specialising in medical imaging. You will develop and deploy deep learning models for radiology and pathology applications.You will work with a multidisciplinary team of doctors, data scientists and engineers to bring AI from research to clinical practice.ResponsibilitiesDevelop and train deep learning models for medical image classification and segmentationBuild data pipelines for DICOM image preprocessing and augmentationCollaborate with radiologists for model validation and clinical testingDeploy models via containerised inference services with sub-second latencyStay current with latest research in medical AI and computer visionEnsure compliance with MDR and AI Act requirements for medical devicesMust-have RequirementsMSc or Ph D in Computer Science, Biomedical Engineering or related field3+ years experience with deep learning frameworks (Py Torch preferred)Strong experience with CNNs, U-Net, Vision Transformers for image analysisExperience with medical imaging data (DICOM, NIf TI)Python proficiency and familiarity with MLOps toolsNice-to-have RequirementsPublications in medical imaging or computer vision conferencesExperience with FDA/CE marking processes for AI medical devicesKnowledge of federated learning approachesPersonal RequirementsPassion for applying AI to improve healthcare outcomesRigorous scientific approach with attention to reproducibilityAbility to communicate complex technical concepts to non-technical stakeholdersEthical mindset regarding AI in healthcare

📌 Machine learning engineer - medical imaging (Roma)
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