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.
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