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.