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Senior Computer Vision / Deep Learning Engineer

Master Linux
Heliopolis, Cairo
Posted 3 years ago
50Applicants for1 open position
  • 49Viewed
  • 18In Consideration
  • 25Not Selected
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Job Details

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Job Description

Master Linux is recruiting for a good reputation company a senior experienced computer vision engineer to join the team which is responsible for developing the software for computer vision systems. The ideal candidate should have passion for writing quality code and will be working on the architecture and implementation of Computer Vision/Deep Learning algorithms.

About the job Role

  • Work on identifying and implementing pre-processing of various datasets (images, videos)
  • Identifying / testing the right techniques / deep learning libraries to use to train the model and infer parts and degree of damage in test data
  • Deploy training and inferencing models on cloud (and edge if required)
  • Work on improving accuracy of deployed models
  • Based on experience and ability - lead the rest of the computer vision engineering team
  • Work on algorithmic solutions
  • Contribute to developing and prototyping architectures and models for image recognition on deep learning convolutional neural networks (CNN)
  • Work on rich, high-quality training data set creation, augmenting and annotation
  • Work on tooling for creating, augmenting, and managing data sets for NN training
  • Work on solution performance optimization
  • Collaborate with the software engineering team on building end-to-end solution

Job Requirements

Requirements:

  • 4+ experience and deep learning solutions development
  • Ideally, experience with ML/CV solutions for image-to-image translation, humans pose detection, 3D reconstruction or computer vision applications
  • Experience with deep learning frameworks (Tensorflow, Pytorch, etc.)
  • Solid experience with data sets creation, management and augmenting; understanding problems associated with data for models’ training
  • Strong Python programming skills
  • NLP Experience is a very added value.
  • BS or MS degree in Computer Science, Math or Physics

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