medical product to predict gastro pathologies by methods of imaging, image processing, computer vision and deep learning.
seeking a deep-learning research engineer to join our team and help us developing a state-of-the-art models and techniques for our medical diagnosis algorithm.
Your primary responsibilities will be to conduct research while using the latest deep learning models and techniques while improving our classification model’s accuracy and robustness. You will also implement, train and evaluate new deep learning models, ML models and AI techniques.
Responsibilities
Develop and use the latest deep learning models and techniques on our medical diagnosis classification accuracy.
A teamwork with other deep learning and algorithms engineers and statisticians working on our medical classification algorithm accuracy.
Develop tools on our data pipeline efficiency.
Job Qualifications and Skill Sets
Bachelor’s degree in related field such as CS/EE/Math/Statistics
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning
Knowledge in one or more deep learning frameworks
Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is an advantage
Knowledge in reading and implementing the latest deep learning articles, using the common deep-learning frameworks
