Roles and Responsibilities :
- Optimize deep learning models for deployment across cloud, on-premises, and IoT platforms.
- Apply scientific rigor to create analytical and clinical evidence demonstrating the performance of existing and new algorithms.
- Assist in AI deployment, optimization, maintenance, and testing of algorithm modules for real-world applications.
- Contribute to academic and technical publications by assisting in paper submissions.
- Ideate and develop novel technical advances at the intersection of AI and healthcare.
- File patents for innovative ideas and solutions.
- Demonstrate algorithm performance to meet accuracy requirements through statistical analyses and error estimation.
- Stay up-to-date with the latest advances in computer vision, natural language processing, and deep learning.
- Design and execute novel synthetic and non-synthetic data acquisition protocols to address healthcare problems using AI.
Skills Required
Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Statistics, Python