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Take full responsibility for the pre-training and fine-tuning of large models, enhance the model's adaptability to proprietary data, and ensure that the model's performance on specific datasets meets the business and company's target requirements;
Participate in the engineering design and scenario implementation of large model multi-agent systems, fully explore the application potential of large models in customized inquiries, multi-task execution, ChatBI, and other aspects, and create AI products with innovation and practicality;
Keep abreast of mature and cutting-edge technological trends in the industry, introduce advanced technical concepts and methods, reduce the cost of pre-research and trial and error, accelerate project progress, ensure the advancement and feasibility of technical solutions, and regularly conduct technical sharing within the team;
Optimize the deployment plan of AI engineering projects, including the deployment of domestic computing power and service migration, formulate reasonable implementation strategies for high-concurrency, high-performance model service deployment requirements, reduce computing resource consumption, and improve the stability and response speed of model services;
Establish an evaluation method and indicator system for core model selection, provide a scientific and objective basis for model selection, enhance the persuasiveness of the selection results, and ensure that the selected models can meet the long-term needs of business development.
Job Requirements:
Master's degree or above in Computer Science, Software Engineering, Electronics, Communications, or related fields;
At least 5 years of experience in the AI field, with a solid foundation in computer science, proficiency in programming languages such as Python, and familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch);
In-depth understanding of deep learning algorithm principles, including but not limited to Transformer, large models, etc., capable of optimizing and improving algorithms according to business needs; handle end-to-end issues from data acquisition and processing to model training and deployment;
Familiar with common Linux commands, capable of proficiently using Linux to install software and dependencies, and deploy various AI models online, and promptly implement load balancing management for resource occupation; familiar with Docker container technology, including container creation, management, and deployment;
Have practical experience in the application of large models in the fields of question answering and intelligent BI; proficient in the use and optimization of various databases, able to design database models, views, and SQL optimization according to business needs; experience with core large model products related to Agent, RAG, NL2SQL, etc., is preferred;
Experience in distributed concurrent model deployment, and related experience in computing power and model performance optimization is preferred;
Understand DevOps culture, able to closely integrate development, testing, and operations to improve the efficiency and quality of software delivery;
Must have good team spirit and communication skills, and also have a spirit of continuous learning.
China Unicom (Hong Kong) Operations Ltd is a member of China Unicom that provides telecommunication services in Hong Kong. To cope with our development, we would like to invite high caliber candidates to apply for the following position: