Machine Learning Engineer

7 giorni fa

Roma, Lazio, Italia trtwo Tempo pieno 60.000 € - 80.000 € Contratto

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Machine Learning Engineer
- 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

Machine Learning Engineer

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