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    Senior Machine Learning DevOps Engineer - Vancouver, BC, Canada - Avature

    Avature
    Avature Vancouver, BC, Canada

    4 days ago

    Default job background
    $130,000 - $190,000
    Description

    DarkVision, a Koch Engineered Solutions company, is looking for a Senior Machine Learning DevOps Engineer to join our ML Team.

    It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time-consuming and inconsistent.

    Our ultrasound imaging application requires a scalable and robust infrastructure that can accommodate the custom deep learning models we are developing, and the amount of data involved.

    You will have the opportunity to apply your skills, experience, and expertise to lead the design and development of a cutting-edge workflow architecture that will enable the development, training, and automated deployment of ML models developed by our dedicated team of ML Scientists.

    This position is on-site, with flexible work hours.

    Based in our state-of-the-art HQ in beautiful North Vancouver, BC, you will work as a core part of the Machine Learning Team and work closely with other Machine Learning DevOps Engineers, Machine Learning Scientists, and Software Engineers.

    Guide, build, and manage the development of pipelines for ML systems in production.
    Lead the design and deployment of Cloud infrastructure in AWS in accordance with MLOps industry best practices.

    determine the best way to collect and train data, and ensure continuous improvement and development; The development of state-of-the-art computer vision deep learning technologies.

    Building ML production systems for novel applications.
    Independence to carry out self-guided research projects and POCs.
    Experience providing technical leadership and guidance in DevOps.
    Professional experience in building, operating, orchestrating, and maintaining cloud infrastructures in production.
    Experience building and managing CI/CD pipelines in production.
    Experience with data workflow and container orchestration tools.
    Bachelor's degree in Computer Science, Software Engineering, or a STEM discipline.
    Familiar with one or more machine learning frameworks.
    3+ years of professional experience in a similar MLOps or DevOps role and using AWS services and PyTorch.
    Hands-on experience with designing, developing, and maintaining a data warehouse.
    Experience with pipeline tools such as Kubeflow, Prefect, or AWS SageMaker.
    Experience with deployment and orchestration tools such as Terraform, Docker, or Kubernetes.
    Experience with model, data, and experiment versioning, monitoring, and tracking.
    Experience deploying computer vision deep learning algorithms.
    Excellent communication skills with a proven record of leading cross-discipline projects.

    This role is also eligible for the full benefits package, flexible hours and work environment, and access to our state-of-the-art facilities (on-site gym with squash court, climbing wall, steam room, and yoga studio).

    Any compensation range provided for a role is an estimate determined by available market data. DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013.

    We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.

    Backed by Koch Industries, one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products.

    We allow employees to work on cutting-edge technologies that blend science with real-world applications.

    We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

    Learn how ourbusiness philosophy helps employees unleash their potential while creating value for themselves and the company.

    We seek to enable the best work environment that helps you and the business work together to produce superior results.

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