Artificial Intelligence Large Model Engineer

<p><strong>[Job Requirements]</strong></p><p><strong></strong></p><p><strong>（2） Work experience: More than 3 years of work experience in large-scale artificial intelligence models, those who have successful experience in developing and applying large-scale models are preferred. Familiar with the development process and key technologies of large models, able to independently undertake the design, training, optimization and deployment of models, and achieve good results in the project.</strong></p><p><strong>（3）Professional skills: Proficient in Python programming language, familiar with mainstream deep learning frameworks such as TensorFlow, PyTorch, etc., able to efficiently implement and optimize large model training and inference code, and with good code writing and debugging skills.</strong></p><p><strong>（4）Familiar with natural language processing, computer vision, etc. artificial intelligence field of basic theory and algorithms, such as word embedding, sequence model, image classification, object detection, etc., have in-depth understanding and practical experience of Transformer architecture and its variants, and be able to choose appropriate model architecture and algorithm according to different task requirements for development and optimization. </strong></p><p><strong>（5）Familiar with large-scale distributed computing frameworks such as Hadoop, Spark, etc., with experience in distributed environments for large model training and data processing, and able to effectively utilize cluster resources to improve model training efficiency and speed.</strong></p><p><strong>（6）Familiar with basic methods and tools of data mining and machine learning, able to effectively analyze and mine large-scale data, extract valuable information and features, and provide strong data support for model training.</strong></p><p><strong>（6）Have strong algorithm design and optimization abilities, be able to design efficient algorithms and data structures based on the characteristics and needs of large models, improve the performance and efficiency of the model. At the same time, it is necessary to have good mathematical modeling and analysis abilities, be able to quantitatively analyze and evaluate the performance of the model, and provide theoretical basis for model optimization.</strong></p><p><strong>（7）Have good system architecture design skills, be able to design reasonable system architectures according to the scale and complexity of large models, ensure the high performance, high availability and scalability of the system. At the same time, you need to be familiar with cloud computing, containerization, etc. technologies, and be able to use these technologies to achieve rapid deployment and elastic expansion of the model.</strong></p><p><strong>（8）Have strong technical research and innovation capabilities, be able to track and master the latest research results and development dynamics in the field of artificial intelligence large models, and timely apply new technologies and methods to actual work, driving the continuous upgrade and innovation of the model. At the same time, it is necessary to have good problem-solving abilities, be able to quickly locate and solve technical difficulties encountered in the project, and ensure the smooth progress of the project.</strong></p><p><strong>（8）Have good team spirit and communication skills, be able to work closely with team members to complete project tasks. At the same time, you need to have good English reading and writing abilities, be able to read and understand English technical literature and data fluently, and keep up with the latest technical dynamics and research results internationally.</strong></p>