Expoint - all jobs in one place

המקום בו המומחים והחברות הטובות ביותר נפגשים

Limitless High-tech career opportunities - Expoint

Philips Experienced AI Engineer Clinical Imaging Software Suite 
Germany, Hesse 
7024529

06.12.2024
Experienced AI Engineer Clinical Imaging Software SuiteJob Description

As an Experienced AI Engineer, you will join a high-performing team within the Image Guided Therapy Devices (IGT-D) Software R&D group in Best, Netherlands. In this role, you’ll work on cutting-edge AI/ML features for our Intravascular Ultrasound (IVUS) Clinical Imaging Software Suite. You will be responsible for developing and deploying deep-learning models in customer-facing products that significantly enhance clinical workflows. From concept to commercialization, your work will comply with all medical regulatory standards to deliver meaningful healthcare solutions.

Your Role:
  • AI Model Development & Deployment:
    Design, train, and optimize machine learning models to support clinical decision-making, ensuring compliance with medical regulations. Focus on deploying AI models in the field and maintaining them with real-world data collection and re-tuning.

  • Implementation & Monitoring:
    Implement AI models in production software using Python (C++ or C# knowledge is a plus). Ensure compliance with medical device standards and regulatory requirements for data usage. Monitor deployed models, retrain when needed, and maintain safety and reliability.

  • Collaboration & Documentation:
    Partner with data scientists to refine models using clinical data. Create thorough documentation for development, deployment, and updates to support audits and regulatory reviews.

  • Testing & Validation:
    Validate models in clinical environments, ensuring their real-world performance meets safety and efficacy standards. Investigate and resolve performance inconsistencies with a focus on patient outcomes.

  • Regulatory Compliance & Risk Management:
    Apply expertise in medical software regulations (FDA, MDR, ISO 13485) to ensure data usage and AI implementations align with compliance requirements.

  • Ethical & Practical Considerations:
    Protect patient privacy (e.g., GDPR, HIPAA) and address biases to deliver equitable, ethical AI-driven solutions.


You’re the Right Fit If:
  • You have a Master’s degree in Computer Science, Computer Engineering, Data Science, or a related discipline.

  • You bring 6+ years of experience as a Machine Learning Engineer or in a similar role.

  • You have successfully deployed AI-powered medical products in real-world commercial settings.

  • You are skilled in deep learning frameworks (e.g., PyTorch, TensorFlow) and architectures like UNet or ResUNet.

  • You preferably understand regulatory compliance (e.g., IEC 62304, ISO 13485) and its role in deploying AI solutions.

  • You have experience collecting data and tuning AI models for field deployment while adhering to regulatory frameworks.

  • You’re proficient with common tools like Azure DevOps/Jira, Git, build/DevOps tools such as CMAKE, GitHub/Jenkins and artifact managers such as Artifactory.

  • You have experience working with Phyton and preferably C++ or C#

  • You are committed to ensuring patient safety and delivering compliant, effective AI-driven healthcare solutions.


  • Learn more about.

  • Discover.

  • Learn more about.