G architecture to achieve the feature delivery and demand support of the Public Cloud product;
3. Based on the application scenarios of large models, link up and down the ecosystem, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities;
4. Explore the design and development of the MultiModal Machine Learning Knowledge Base;
Qualifications
Minimum Qualifications:
- Bachelor's Degree in Computer Science or related fields, with at least 3 years of relevant experience;
- Solid programming skills, familiar with Python language, good code design style and coding ability, and good ability to solve practical problems;
- Have a certain understanding of the RAG field, understand the common design paradigms of large model RAG knowledge systems, have a basic understanding of large model application frameworks, and have interest and enthusiasm for the implementation of large model applications;
Preferred Qualification:
- Experience in participating and contributing to open source communities