The AI Engineer is responsible for understanding the medical imaging business problems, identifying/applying the right AI or cognitive computing technologies. In addition to being involved in the formulation and execution of technology solutions.

RESPONSIBILITIES:

+ Develops required machine learning models or prototype applications, applying formulated AI recipes and verifying the problem/solution fit.

+ Understands the challenges in medical imaging and using state of the art solutions in AI and DL.

+ Participates in building new experiences, improves existing products, ensures quality assurance test designs and contributes to test systems architecture discussions.

+ Works alongside leading innovators in the field of deep learning and health care, plays a critical role in algorithm development.

+ Analyzes and evaluates data and builds deep networks to detect or predict features, while effectively balancing quality, availability, ti...