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\n \n \n\n","datePosted":"2023-02-23T12:51:44.136Z","validThrough":"2025-06-12","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is revolutionizing point-of-care diagnostics with its patented AI solutions that transform inexpensive ultrasound devices into powerful tools for the rapid, non-invasive detection and monitoring of liver diseases. Their innovative approach leverages raw ultrasound signals to provide accurate diagnostics without the need for image interpretation, making it accessible for any clinician. With a focus on improving patient outcomes and experiences, Oncoustics offers a suite of applications that streamline the diagnostic process, reduce costs, and enhance productivity in clinical settings. The company has validated its technology through extensive clinical partnerships and is positioned in a $30B global diagnostic market, addressing a critical need for early detection of liver disease, which is the fastest-growing cause of death globally.","numberOfEmployees":26,"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","keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cairo Governorate, Egypt"}}}\n
Senior Machine Learning Engineer
\nCAIRO: 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 \n
- Influence feature engineering and signal processing, and coordinate for optimal mining with AI \n
- 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 \n
- Graduate degree in a related field, and relevant undergraduate \n
- 5+ years at least of industry experience in the development and deployment of AI/ML models, ideally for health care \n
- 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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\n \n \nSenior Machine Learning Engineer
Oncoustics AI
Software Engineering
Cairo Governorate, Egypt
Posted 6+ months ago
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.