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Director Machine learning

Director Machine learning

Established SearchParis, Île-de-France, France
Il y a 17 jours
Type de contrat
  • Temps plein
Description de poste

We are seeking an experienced and visionary Director of Machine Learning to lead the development of next-generation AI solutions in medical imaging . This is a unique opportunity to make a direct impact on patient outcomes by building advanced ML systems that support diagnostic accuracy, clinical decision-making, and operational efficiency in radiology and other image-driven specialties.

You will lead a cross-functional team of machine learning scientists, engineers, and research collaborators to design, build, and deploy scalable models used in real-world healthcare environments. Your work will be central to product innovation and regulatory strategy.

Key Responsibilities :

  • Strategy & Leadership
  • Define and execute the machine learning roadmap aligned with product and clinical objectives.
  • Lead, mentor, and scale a high-performing team of ML scientists and engineers.
  • Act as a key technical leader and thought partner across product, clinical, and regulatory functions.
  • Technical Direction
  • Design and optimize machine learning models for 2D / 3D medical image analysis, segmentation, classification, anomaly detection, and multimodal data fusion.
  • Oversee development of model pipelines from training to deployment, including validation on large-scale medical imaging datasets.
  • Ensure model interpretability, generalizability, and regulatory compliance (FDA, CE mark).
  • Collaboration
  • Work closely with radiologists, data scientists, software engineers, and regulatory experts to ensure clinical relevance and product usability.
  • Engage with academic and industry partners on cutting-edge research collaborations and clinical validation studies.

Required Qualifications

  • 12+ years of experience in applied machine learning, with at least 5+ years in leadership roles .
  • Deep expertise in medical imaging and related ML techniques (e.g., CNNs, 3D deep learning, transformer architectures for imaging, radiomics).
  • Proven track record of deploying ML models in healthcare or regulated clinical environments .
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with imaging formats (DICOM, NIfTI), PACS systems, and cloud-based ML pipelines (AWS, GCP, or Azure).
  • Demonstrated ability to translate complex ML solutions into actionable product strategies and outcomes.
  • Preferred Qualifications

  • Ph.D. or M.S. in Computer Science, Biomedical Engineering, Electrical Engineering, or related field.
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