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Senior Machine Learning Engineer
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CAIRO: RESEARCH AND DEVELOPMENT - FULL TIME
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Job Description
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Oncoustics is looking to expand its Egypt-based team with a senior machine learning engineer. Oncoustics is a North American headquartered healthtech startup developing advanced diagnostic solutions on handheld ultrasound scanners.
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Responsibility
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  • Work with R&D team in development and deployment of deep learning and machine learning models in tensorflow and pytorch
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  • Influence feature engineering and signal processing, and coordinate for optimal mining with AI
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  • Bonus consideration will be given to applicants that have developed ML-based solutions that have been commercially deployed and/or have worked directly in deploying ML models in to commercial-use production pipelines
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  • Graduate degree in a related field, and relevant undergraduate
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  • 5+ years at least of industry experience in the development and deployment of AI/ML models, ideally for health care
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  • Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
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Please note that as close collaboration is required with the Toronto and San Francisco teams, standard availability required is 4pm-midnight Cairo time, Monday through Friday.
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    © Copyright Oncoustics. All Rights Reserved
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    \n\n","datePosted":"2023-02-23T12:51:44.136Z","validThrough":"2024-09-20","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheld ultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.","numberOfEmployees":29,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},{"address":{"@type":"PostalAddress","addressLocality":"North York, Toronto, ON, Canada"}}],"sameAs":"https://oncoustics.com","url":"https://oncoustics.com","logo":"https://cdn.getro.com/companies/3d60cba1-74be-5da2-8fa4-6b131b3d2dc3","memberOf":{"@type":"Organization","name":"MaRS Discovery District","description":"MaRS Discovery District is an information technology services company which provides Incubator, Entrepreneurship Education, Accelerator, Startups, and Systems Change.","logo":"https://cdn.filestackcontent.com/WxwCFITySqeOnc9UdE59","url":"techjobs.marsdd.com"},"keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cairo Governorate, Egypt"}}}

    Senior Machine Learning Engineer

    Oncoustics AI

    Oncoustics AI

    Software Engineering
    Cairo Governorate, Egypt
    Posted on Thursday, February 23, 2023
    Senior Machine Learning Engineer
    CAIRO: RESEARCH AND DEVELOPMENT - FULL TIME
    Job Description
    Oncoustics is looking to expand its Egypt-based team with a senior machine learning engineer. Oncoustics is a North American headquartered healthtech startup developing advanced diagnostic solutions on handheld ultrasound scanners.
    Responsibility
    • Work with R&D team in development and deployment of deep learning and machine learning models in tensorflow and pytorch
    • Influence feature engineering and signal processing, and coordinate for optimal mining with AI
    • Bonus consideration will be given to applicants that have developed ML-based solutions that have been commercially deployed and/or have worked directly in deploying ML models in to commercial-use production pipelines
    • Graduate degree in a related field, and relevant undergraduate
    • 5+ years at least of industry experience in the development and deployment of AI/ML models, ideally for health care
    • Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
    Please note that as close collaboration is required with the Toronto and San Francisco teams, standard availability required is 4pm-midnight Cairo time, Monday through Friday.
      Uploading...
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      Thank you! Your submission has been received!
      Oops! Something went wrong while submitting the form.