Job responsibilities
To develop AI software in the medical domain of assisted reproductive technology. Extract existing medical records from a hospital, train deep neural networks, discover patterns and rules, evaluate and optimize the models, and recommend clinical treatments. Technology stack: we use PyTorch, Tensorflow, Tensorflow.js, SQL Server, MongoDB, node.js, Git. We do not use Caffe, SVN.

Skill requirements
Master degree or PhD. Major in computer science and technology, software engineering, network engineering, or other related disciplines.
Experienced in machine learning programming. Able to complete projects independently from scratch.
Proficient in analyzing and visualizing numerical distributions, missing values, and outliers, of medical data.
Proficient in using Python to write deep neural networks: PyTorch 2.0, Tensorflow, scikit-learn.
Proficient in writing deep neural networks using JavaScript: Tensorflow.js, Danfo.js.
Proficient in using popular neural network structures：CNN, RNN, LSTM, SSD, VAE, GAN, Diffusion, Transformer.
Proficient in using text encoding algorithms：one-hot, multi-hot, embedding.
Proficient in using large language models：ChatGPT, GPT-4, Bard, ChatGLM, Ernie.
Proficient in using entity relationship diagrams to associate child tables from the navigation table through foreign keys and JOIN statements.
Proficient in using SQL Server 2019 database management system and its derivatives:
SQL Server Management Studio (SSMS)
Azure Data Studio
Proficient in using SQL Server stored procedures, functions, and views.
Proficient in using ODBC driver, T-SQL statement, or middleware, to read/write SQL Server, Oracle, and MySQL, and run transactions.
Proficient in using MongoDB and its Python or node.js driver interface for reading/writing and running transactions.
Proficient in using JSON and BSON data formats.
Proficient in using Git version control toolchain, and popular code repositories: GitHub, GitLab, Gitee, Bitbucket.