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, ...