Job Description

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, timeliness and cost factors.

Job Requirements

• 3-6 years of AI/ML experience with a degree in a quantitative fields like Computer Science, data science, Engineering or related field required, with a significant focus on deep learning.
• BA/BS degree in computer science or related discipline is required, MS degree is preferred.
• Good command of the English language required (spoken and written).

REQUIRED SKILLS

• Strong background in machine learning and parallel processing pipelines, with significant experience in image processing.
• Experience in working with large datasets and relational databases (SQL)
• Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus.
• An intuitive sense of how to architect high-performance distributed computing systems for machine learning & tie them to business problems.