Senior Computer Vision Engineer

Location Toronto
Contact name: Rebaz Has

Contact email: rebaz@deepabacus.com
Job ref: 43
Published: 24 days ago

Company:

  • Applying cutting edge Artificial Intelligence to some of the biggest painpoints in digital health.

  • Developing technology that can screen different disease states from camera phone images. 

  • Working on a product that will impact a billion people around the world.

What you’ll do: 

  • Develop algorithms for image segmentation, object detection, recognition, and tracking especially on images of human eyes.

  • Contribute to enhancement and improvement of the core product.

  • Enhance the quality of imagery captured from low-end cameras from indoor and outdoor.

  • Extract insights from imagery data.

  • Identify appropriate models to be used and improve model accuracy for the AiZtech platform.

What you’ll need to succeed: 

  • Master’s degree or Ph.D. in Computer Science/Electrical Engineering/Robotics or related fields.

  • Experience with a wide variety of Deep Learning Models (i.e. LSTM, RNN, CNN, GAN, etc).

  • Familiar with computer vision techniques (i.e. object detection, object tracking, classification, image segmentation, etc). 

  • Experienced in use of Machine learning and computer vision frameworks and libraries such as TensorFlow, PyTorch, OpenCV, etc. 

  • Skilled software developer with experience in C/C++, Python and/or CUDA.

  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

  • At least 3 years of applied experience in ML and CV.

  • Strong problem-solving skills and attention to detail.

  • Strong communication and collaboration skills.

  • Self-starter and comfortable in a very fast-paced startup environment.