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AI Engineer

Paxerahealth Corp
6th of October, Giza
Posted 5 years ago
18Applicants for2 open positions
  • 15Viewed
  • 1In Consideration
  • 0Not Selected
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Job Details

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Job Description

At PaxeraHealth, we're utilizing deep learning tools and techniques to build state of the art AI based smart products. We develop solutions in radiology and PACs that are modernizing healthcare, including detecting cancer and other diseases.

Our team has some unique and important deep learning challenges to solve, with a focus on image processing and computer vision. We're looking for experienced deep learning engineers to join our team and help solve some of these challenges. If you're the right candidate, your day-to-day will involve:

  • Understanding PaxeraHealth products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
  • Designing, developing and maintaining the deep learning infrastructure that powers PaxeraHealth AI solutions
  • Performing research and development of deep learning algorithms to expand product capabilities
  • Participating in building new experiences, improve existing products, ensure quality assurance test designs and contributing to test systems architecture discussions
  • You will have the opportunity to work in a company culture that puts employees first, is relaxed but focused and hard-working.
  • Every PaxerHealth employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative deep learning tools to radiologists, clinicians and healthcare organizations.
  • You will work alongside leading innovators in the field of deep learning and health care, play a critical role in algorithm development.
  • You will analyze and evaluate data and build deep networks to detect or predict features, while effectively balancing quality, availability, timeliness and cost factors.
  • You will constructively discuss your findings in dialog with consultants and clients while always looking for the best solution.

Job Requirements

  • 5+ years of software engineering experience or a master's degree in quantitative field like Computer Science, Engineering or related field required, with significant focus on deep learning; Ph.D. is a strong plus
  • Intuitive sense of how to architect high performance distributed computing systems for machine learning & tie them to business problems
  • Strong background in machine learning and parallel processing pipelines
  • Ability to design and develop robust, scalable cloud-based solutions
  • 2+ years of experience in Python and/or Java; Additional knowledge of other programming languages (C++, R … etc) is preferable
  • 2+ years of professional or academic experience with common deep networks including convolutional networks, recurrent networks and autoencoders
  • Experience in working with large datasets and relational databases (SQL)
  • Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus
  • Experience with computer vision techniques and libraries (OpenCV)
  • Experience with sourcing datasets for different use cases
  • Intense intellectual curiosity – strong desire to always be learning
  • Analytical, creative, and innovative approach to solving open-ended problems
  • Highly collaborative, team-player attitude
  • Ability to work effectively with people at all levels in an organization
  • Skills to communicate complex ideas effectively
  • 30% travel required

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