Description

Responsibilities 

• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.

• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.

Qualifications: 

• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.

• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.

• Demonstrated experience with Python and analysis of image-like data.

• Strong knowledge in supervised machine learning and semi-supervised machine learning.

• Excellent communication and collaboration skills.

Optional but preferred qualifications: 

• Strong knowledge of classical image processing or computer vision.

• Good knowledge of Generative Adversarial Networks.

• Previous experience in medical image processing.

• Familiar with Pytorch lightning.

• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning

Key Skills

Education

Any Graduate