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    Senior Data Scientist - Toronto, ON, Canada - Future Fertility Inc

    Future Fertility Inc
    Future Fertility Inc Toronto, ON, Canada

    1 day ago

    Default job background
    Description
    We develop and market AI-enhanced software solutions in the high-growth market of Assisted Reproductive Technology (ART).

    We have been chosen by MaRS, North America's largest urban innovation hub, to be showcased as one of their portfolio companies.

    The investment was led by M Ventures (the corporate venture capital arm of Merck KGaA, Darmstadt, Germany, a global fertility leader), with participation from Whitecap Venture Partners.

    Insights yielded by this patented software technology will be invaluable to patients, clinicians, and researchers.

    We continue to invest in developing further solutions to deliver on our goal for radically improved levels of insight for patients and clinicians by using artificial intelligence, and in so doing, substantially improve the experience and outcomes.

    Design, research, test and recommend modern AI training, test and deployment strategies with application to microscope and ultrasound medical images
    Benchmark, analyze and improve performance of existing algorithms, and pre-processing and data augmentation strategies.
    Collaborate closely with other engineers to solve interesting and challenging data problems
    Turning prototypes of the computer vision algorithms into high quality product ready code
    Help establish an effective ML pipeline
    Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research
    Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables
    Expert in Machine learning with experience in deep neural networks for computer vision problems, such as image classification and object detection preferably with medical imaging
    Strong understanding of Convolutional Neural Networks (CNN), Autoencoders and GANs
    Experience in image processing with emphasis on medical images
    D. in Computer Science specializing in image processing, computational photography, computer vision or at least 5 years of experience in the industry or data science competitions
    Extensive experience in PyTorch deep learning framework and Python

    Familiarity with scientific computing libraries such as numpy, pandas, scikit and image processing libraries such as OpenCV and scikit-image.

    Familiarity with Git and Version Control Systems
    Experience running accuracy experiments and systematically improving performance
    Attention to detail, data accuracy and quality of output
    Prior experience in applying image enhancement and segmentation on medical images and using image processing libraries
    Background in Life Science
    Experience with data processing frameworks
    Experience in privacy preserving or federated machine learning
    Research publications in ML/AI-related fields
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