1. Technology development and optimization
- Responsible for the research and development and implementation of AI algorithms (such as machine learning, deep learning, computer vision, etc.) in financial payment scenarios, including technology selection, model tuning and performance optimization;
- Participate in the full life cycle development of AI products such as payment risk control, intelligent customer service, and transaction behavior analysis, and complete code implementation, automated testing and system architecture design;
- Research cutting-edge AI technologies (such as large language models, Agent agents, etc.) to promote technological innovation and engineering applications;
- Build an AI platform and tool chain to improve model development and deployment efficiency, and be familiar with acceleration tools such as ONNX and TensorRT；

2. Technical specifications and promotion
- Formulate AI development process specifications to promote the introduction and standardization of tool chains and frameworks;
- Cooperate with the business department to complete technical verification and results transformation, and support the intelligent upgrade of financial payment scenarios.

1. Basic requirements
- Education: Bachelor's degree or above in computer science, mathematics, electronic engineering and other related majors;
- Experience: More than 5 years of software development experience, more than 3 years of practical experience in the field of AI, and priority is given to the financial/payment industry project background；  

2. Technical capabilities
- Proficient in Python, familiar with at least one language in C++/Java/Golang, and has good code specifications and engineering capabilities;
- Proficient in using frameworks such as TensorFlow, PyTorch, etc., and master deep learning algorithms (such as CNN, RNN, Transformer, etc.) and tuning skills;
- Familiar with distributed systems, high concurrency processing, and experience in database optimization such as MySQL/MongoDB; 

3. Soft Skills
- Have excellent logical analysis capabilities, communication and coordination capabilities and stress resistance, and adapt to the high standards of the financial industry;
- Have enthusiasm for AI technology, continue to pay attention to technical trends, and have the ability to learn and innovate quickly.

1. Familiar with payment system architecture (such as orders, accounts, risk control modules) or have financial compliance knowledge;

2. Has published papers in the field of AI, owned patents or led large open source projects.