Machine Learning Engineer, Aidence

• MSc / PhD in Machine Learning field, Computer Science or related technical discipline
• Experience (> 5 years) with deep learning tasks including applying them to medical imaging
• Experience (> 5 years) with deep learning libraries
• Strong programming skills in Python and its scientific computing libraries
• Experience with analyzing large datasets
• Experience with version control and Git
• Valid EU work permit

Desirable

• The Machine Learning Engineer will contribute to developing and productionizing artificial intelligence (AI) products
• This includes AI model development, data management and software engineering tasks, and working with a team of software engineering, clinical, and regulatory specialists to deliver these models to clinical care
• Driving development of new machine learning models and maintaining and improving current AI models
• Working with clinical team to assess AI model performance
• Curating and analyzing large medical imaging datasets
• Writing production-level code to turn AI models into robust products
• Medical imaging model development and productization
• Technical and clinical validation of imaging models
• Knowledge of algorithms and model development techniques
• Strong presenter of ideas and work