Artificial Intelligence Senior Engineer
Job Description：
1.Study the most cutting-edge theories, research and achievements in AI-related aspects at home and abroad around medical text, medical image image recognition and diagnosis and other related landing scenarios; plan the company's AI R&D strategy and path; build AI algorithm system architecture and form industry-leading independent intellectual property and product iterations.
2.Lead the design of excellent sustainable and scalable advanced product architectures in conjunction with specific business objectives; lead R&D teams to develop and deliver high quality technical solutions and plan to form a unified framework, platform and a series of modular components.
3.Actively participate in leading the implementation of clinical applications of advanced technologies, interface with hospitals and experts, directors to validate and implement relevant collaborative projects.
4.Responsible for the AI scientific research direction of the company, set up and train the scientific research team, conduct scientific innovation, publish papers, host and participate in academic and industry conferences; declare domestic and international patents and form AI intellectual property results.
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Qualification
1.Master's or doctoral degree in computer, artificial intelligence, mathematics, bioengineering or medical engineering related fields.
2.Proficient in AI algorithm research; have a good understanding of common AI algorithms and deep learning algorithms and rich hands-on practical experience; have experience working as a core technical backbone, researcher or scientist for major projects.
3.Good at communication; being trustworthy, dependable; responsible for the whole process; have strong learning ability, strong analytical and problem solving skills; proficient in common middleware, distributed solutions and their principles.
4.Proficient in PyTorch/Tensorflow framework, computer graphics, image recognition knowledge; proficient in artificial intelligence, machine learning, deep learning related knowledge; familiar with common classification algorithms, target detection algorithms, semantic/instance segmentation algorithms, target tracking algorithms.