✨ The Role in One Sentence

Join our AI team as a Junior Machine Learning Engineer, developing deep learning models for real-world medical applications and analyzing radiological imaging data.

📋 What You'll Likely Do

• 40%: Develop and train deep learning models to detect and diagnose medical conditions from radiological imaging data (MRI, CT).

• 30%: Validate model performance to ensure compliance with medical device certification standards.

• 30%: Build solutions with clinical needs in mind, emphasizing interpretability and confidence estimation.

🧑‍💻 Profiles Doing This Job

• High Priority: Experience in computer vision, ideally with a Master’s/Ph.D. in a related field.

• High Priority: Strong understanding of machine learning and deep learning concepts.

• High Priority: Hands-on experience with deep learning frameworks, ideally PyTorch.

📈 How This Role Will Look on Your CV

• Developed and validated deep learning models for medical imaging applications.