Responsibilities
1. Responsible for the construction and platform transformation of edge computing large model applications and platform infrastructure 2. Design and implement the architecture and optimization of data management, machine learning training inference, and model application in large model systems 3. Design and Realize a safe, high-reliability, and high-performance cloud-edge collaborative distributed system 4. Master the industry's cutting-edge technologies and continue to explore AI solutions in various edge scenarios.
Qualifications
1. Have strong learning ability, strong desire for knowledge, curiosity and enterprising spirit, and can pay attention to and learn from the industry in a timely manner The latest technology 2. Solid basic computer knowledge, rich back-end R&D experience, familiar with Golang, Python and corresponding framework environments and common technical components 3. Positive and optimistic, strong sense of responsibility, serious and meticulous work, and good team communication and collaboration Ability 4. Understand the algorithm principles of LLM model, Fine-tuning, Prompt Engineering, vector database and LangChain and other application paradigms.