Philips Experienced AI Engineer Clinical Imaging Software Suite 

Germany, Hesse 

7024529

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.

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