Join Clarius as a Machine Learning Engineer to revolutionize medical imaging access. This role involves the development and deployment of cutting-edge machine learning technology.
Located in Vancouver, BC, this hybrid prospect focuses on advancing ultrasound technology's accessibility. As part of a agile team, you will be critical in designing and maintaining machine learning data pipelines while ensuring model efficiency in production settings. Collaboration with peers will enhance practical applications for medical professionals worldwide.
Key Responsibilities:



- Design and maintain ML data pipelines for optimal processing - Deploy models for research and production environments - Improve existing ML tools for scalability and robustness - Automate processes for model retraining and monitoring - Collaborate across teams to translate ML research into applications
Requirements: - Master’s or Bachelor’s degree in related fields - 3+ years experience in machine learning - Robust background in deep learning and computer vision - Expert in Python and experience with TensorFlow and PyTorch - Familiarity with cloud platforms and deployment tools preferred
Contribute your machine learning skills at Clarius, enhancing healthcare worldwide.#J-18808-Ljbffr

📌 Clarius Machine Learning Engineer Position Winnipeg
🏢 Clarius Mobile Health
📍 Winnipeg