deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection
Assist in dataset preparation to enhance the models
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