Senior AI Engineer (Medtech)

TL;DR

Senior AI Engineer (Medtech): Developing machine learning models and prototype applications for medical imaging business problems with an accent on deep learning, computer vision, and image processing. Focus on analyzing large datasets, building deep networks to detect or predict features, and architecting high-performance distributed computing systems tied to business challenges.

Company

Healthcare technology company specializing in medical imaging and AI solutions.

What you will do

• Develop machine learning models or prototype applications using AI recipes and verify problem-solution fit.
• Apply state-of-the-art AI and deep learning solutions to medical imaging challenges.
• Build new experiences, improve existing products, and contribute to quality assurance test designs and systems architecture.
• Collaborate with deep learning and healthcare innovators on algorithm development.
• Analyze data, build deep networks for feature detection or prediction, balancing quality, availability, timeliness, and cost.

Requirements

• 3-6 years of AI/ML experience with a degree in Computer Science, data science, Engineering or related field; significant focus on deep learning.
• BA/BS in computer science or related; MS preferred.
• Good command of English (spoken and written) required.
• Strong background in machine learning, parallel processing pipelines, and image processing.
• Experience with large datasets, relational databases (SQL), and deep learning frameworks (TensorFlow, Caffe, Torch, Theano).
• Computer vision projects are a strong plus; intuitive sense for architecting distributed computing systems for ML tied to business problems.