the backend architecture of the self-developed vector database, and provide the processing and storage capabilities of MultiModal Machine Learning unstructured data on the vector database product;
4. Participate in the iterative development of capabilities such as backend debugging, monitoring, billing, and elastic scheduling for the Public Cloud products of the vector database and Knowledge Base.
Qualifications
Minimum Qualifications:
- Bachelor's Degree in Computer Science or related fields;
- Solid programming skills, familiar with one of the common backend languages such as Golang/Python/Java, with good code design style and coding ability, and good ability to solve practical problems;
- Have some experience in the fields of public cloud and database, understand the common resource and permission management and control design, and have interest and enthusiasm for the implementation of large model applications;
Preferred Qualification:
- Understand the system design of high concurrency and high throughput;
- Experience in contributing to open source communities.