Machine Learning Engineer
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- Medical Imaging Career path toward Lead ML Engineer or Head of AI within 2-3 years Industry Sectors Healthcare & Medical, Information Technology, Research & Development Technologies you'll work with powered by Job Nautilus Salary 60,000
- 80,000 EUR/year + equity
Job 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. Responsibilities
* Develop and train deep learning models for medical image classification and segmentation
* Build data pipelines for DICOM image preprocessing and augmentation
* Collaborate with radiologists for model validation and clinical testing
* Deploy models via containerised inference services with sub-second latency
* Stay current with latest research in medical AI and computer vision
* Ensure compliance with MDR and AI Act requirements for medical devices Must-have Requirements
* MSc or PhD in Computer Science, Biomedical Engineering or related field
* 3+ years experience with deep learning frameworks (PyTorch preferred)
* Strong experience with CNNs, U-Net, Vision Transformers for image analysis
* Experience with medical imaging data (DICOM, NIfTI)
* Python proficiency and familiarity with MLOps tools Nice-to-have Requirements
* Publications in medical imaging or computer vision conferences
* Experience with FDA/CE marking processes for AI medical devices
* Knowledge of federated learning approaches Personal Requirements
* Passion for applying AI to improve healthcare outcomes
* Rigorous scientific approach with attention to reproducibility
* Ability to communicate complex technical concepts to non-technical stakeholders
* Ethical mindset regarding AI in healthcare #J-18808-Ljbffr
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