Machine Learning Engineer - Medical Imaging

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bxf0u

Machine Learning Engineer - Medical Imaging

Si assicuri di leggere attentamente le informazioni relative a questa possibilità prima di inviare la sua candidatura.

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

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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

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- 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

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- 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 xysqume Requirements

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- 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

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- 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

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bxf0u