Responsibility:

1.Participate in the application and development of AI projects and explore cutting-edge methods to improve model performance and efficiency;
2.Participate in system and application architecture design as needed, and write code to realize the corresponding functions;
3.Deploy AI application services, including API design and service performance optimization;
4.Write technical documents, such as experiment reports and application guides;
5.Collaborate closely with team members to drive project progress and share technical expertise and results.

Requirements:

1,.Students of Bachelor’s / Master’s degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field;
2, Solid understanding of deep learning theory, familiar with common deep learning frameworks (e.g. PyTorch,Tensorflow,Paddepaddle, etc.);
3, in-depth understanding of the principles of deep learning algorithms, including but not limited to Transformer, large language model, etc., relevant research or project experience is preferred;
4、Familiar with Linux common commands, able to skillfully use Linux to install software, dependencies, on-line deployment of various types of AI models, and timely implementation of load balancing management for resource occupancy; familiar with Docker container technology, including container creation, management and deployment;
5、Familiar with Python programming language, with good coding style and programming habits;
6、Experience in distributed concurrent deployment, relevant experience in computing power and model performance optimization is preferred;
7、Experience in publishing papers in top conferences or journals (e.g. ACL, EMNLP, NeurIPS) is preferred;
8, Priority will be given to those who have won awards in related fields;
9, Need to have a good team spirit and communication skills, as well as the spirit of continuous learning.