Machine Learning Engineer in Medical Imaging

Join Oncoustics as a Machine Learning Engineer to contribute to innovative medical imaging solutions. This senior role combines deep learning, team leadership, and healthcare applications.

Located in Toronto, you will utilize your extensive experience in AI/ML to advance the use of point of care ultrasound. You'll lead the deployment of models and enhance team collaboration while guiding best practices in ML engineering. Your goal will be to optimize algorithms for ultrasound data processing and facilitate FDA planning.

Key Responsibilities:

• Develop deep learning models with Tensor Flow and Py Torch

• Enhance collaborative culture within distributed teams

• Mentor ML scientists and engineers on best practices

• Manage R&D and software engineering processes

• Plan for machine learning model deployment

Requirements:

• Graduate and relevant undergraduate degrees

• Minimum of 5 years in AI/ML model development

• Deep learning expertise in Python packages

• Experience with attention mechanisms and GANs

Your contributions will shape the future of medical imaging technology at Oncoustics.
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