Job Responsibilitie
Conduct comprehensive research on large model technology and its industry applications, covering natural language processing, human-computer dialogue, and other fields, analyze practical cases in education, healthcare, finance, and other industries, and deeply understand the application effects and feasibility of large models across various industries.
- Design and implement unified large model access and deployment solutions, select large models suitable for each target application field, optimize model call efficiency and response time, ensuring fast and convenient access and efficient deployment.
- Formulate and optimize workflows and technical solutions, covering data processing, model invocation, and result output, enhance system stability and maintainability, solve technical challenges in engineering implementation, and reduce deployment and maintenance costs.
- Continuously optimize and upgrade large model application systems, monitor system operation and user experience according to business needs and technological developments, collect feedback, and perform system performance optimization and feature upgrades to ensure the long-term efficient operation of large model applications.
Requirements
- Bachelor's degree or above in Computer Science, Mathematics, or related fields； at least 5 years of relevant work experience for bachelor's degree holders.
- Familiar with industry-leading technologies and algorithm models including computer vision, GANs, image processing, and OCR; understand the principles of algorithms and models, and have certain practical application and optimization experience.
- Familiar with the application of Large Language Models （LLMs） in various tasks of natural language processing/multimodal processing.
- Solid programming skills and corresponding engineering capabilities； proficient in using Python as the primary working language, and familiar with frameworks and tools such as OpenCV, Keras, TensorFlow, and PyTorch. 5. Innovative spirit, willing to delve into innovative algorithm applications and product innovation
