Company
Inner Mingolia Wesure Data Technology Co., Ltd.
Location
hohht Neimeng, China
Job Type
Part Time
Salary Range
15,000-20,000 RMB
Number to Recruit
3
Job Reference Code
J2200077
Inner Mingolia Wesure Date is a technology company focusing on the health and medical field and committed to early disease detection. In Beijing, Shaanxi, Xinjiang, Guangxi, there are 6 subsidiaries, more than 200 employees for more than 5,000 medical institutions to provide professional products and high-quality services, weishu's terminal market share of 11% in the country. Weishu's number of competitiveness ranked the top three. As a headquarters enterprise, we are pushing ahead with the listing plan.
In September 2020, Wesure's independent research and development of artificial intelligence technology for disease identification based on routine test data won the first prize of the 9th National Innovation and Entrepreneurship Competition (Inner Mongolia). Since then, Wesure with the leading advantage in big data artificial intelligence technology, rich experience in data governance, analysis and application.With big data technology based on the conventional test data for the application of disease recognition for two consecutive years to be included in the science and technology action on special project, and we also get rolling financial support of the government. At present, Wesure carries out scientific research cooperation with many research institutes and hospitals, such as China National Institute of Metrology, Inner Mongolia University, Beijing Chaoyang Hospital, the First Affiliated Hospital of Hebei Medical University and so on.
Responsible for the calculation and design of research projects according to the company's strategic planning
Responsibilities:
1. Responsible for the design,algorithms, development and optimization of big data intelligent;
2. Responsible for data collection, preprocessing, storage component development;
3. Visualization system development of big data platform.
Qualifications:
1. Master degree, Familiar with SQL, Python, Tensorflow, Pytorch, Keras and other deep learning frameworks;
2. Strong data structure and algorithm ability, excellent mathematical model learning and application ability;
3. Master the mainstream machine learning algorithms (Including but not limited to NLP Natural Language Processing).