| Company |
Oncoustics |
| Job title |
Senior Machine Learning Engineer in Medical Imaging |
| Job location |
Toronto, ON, Canada |
| Type |
Full Time |
Responsibilities:
- Lead all development and deployment of deep learning and machine learning models in tensorflow and pytorch
- Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
- Apply custom hyper parameter tuning methods
- Work directly with a team of data scientists and signal processing engineers
- Influence feature engineering and signal processing, and coordinate for optimal mining with AI
- Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
- Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
- Plan for deployment of all models in Oncoustics future apps
- Participate in FDA planning and clearance of algorithms
Requirements & Skills:
- Graduate degree in a related field, and a relevant undergraduate
- 5+ years at least of industry experience in the development and deployment of AI/ML models for healthcare
- Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
- Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs
