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    Senior Machine Learning Engineer - Vancouver, BC, Canada - Hour Consulting

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    Description
    Our client is an innovative real estate based technology company.

    They are on a mission to transform how home buyers and sellers understand the Real Estate Market.

    They are growing rapidly and looking for a Senior Data Scientist specializing in Machine Learning to join their award winning team.

    They are a leading technology platform that utilizes artificial intelligence technology to estimate home values in real-time correctly. Their proprietary algorithm also correctly identifies similar nearby sold properties to help buyers determine their final offer price
    Their industry-leading platform attracts over 2 million users regularly every month, helping them find their dream home.

    1 App under the Android and House Category in 2021 and they want a Senior Machine Learning engineer to support their artificial intelligence team.

    The purpose of the role is to support the development of the next iteration of machine learning systems for real estate prediction, deploy the systems to production, and test them to ensure all business needs are covered.

    It's an opportunity to be a part of a fast-changing industry and allow their users to make real estate decisions based on real-time data-based market research.

    Design and build robust prediction focused machine learning systems that address:
    Natural Language Processing and image recognition to extract signals from property listings
    Research and study the latest Machine Learning algorithms and Frameworks.
    Perform statistical analysis and fine-tuning models using test results
    Refactor and improve existing Client models written in Python to increase run-time speed by 10x.

    Collaborate with the team on the machine learning project from start to finish, including building data pipelines, designing, deployment & maintaining production quality Client models.

    Provide support to the dev team in terms of integrating Client systems with the back-end software stack.
    At least three (3) years of professional experience in building and implementing production scale Machine Learning models in a professional working environment
    Advanced knowledge of Machine Learning models: deep learning, reinforcement learning, NLP, and others
    Extensive experience in machine learning libraries (Numpy, Pandas, SciKit Learn, etc.) Hands-on expertise writing code in Python
    Experience developing recommendation engines using different techniques such as collaborative filtering and content-based filtering, deep learning-based approaches
    Familiarity with Linux operating systems such as Centos or Debian.
    D. in computer science/engineering/Data Science/Machine Learning or related fields
    Remote-friendly work environment: the ability to work from anywhere in Canada
    Health Benefits including health, dental, life, virtual health care and travel coverage
    Home Office Set up support with a company laptop, equipment and support to set up your home office
    We are a fully remote team - Anywhere in Canada is preferred for this position.
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