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職位描述 崗位職責： 1. 根據(jù)圖像獲取相關信息進行分析，創(chuàng)新為團隊創(chuàng)造價值。 2. 深入理解公司業(yè)務，負責AI產品應用的需求分析、產品設計、架構設計與開發(fā)。 3. 應用AI算法或模型，設計并實現(xiàn)AI應用，包括但不限于自然語言處理 (NLP)、計算機視覺 (CV)、智能優(yōu)化與預測等。 4. 負責AI產品應用的核心功能模塊開發(fā)，不限于數(shù)據(jù)處理、算法集成、模型訓練與部署的后端支持等工作。 5. 負責設計和開發(fā)基于大模型的AI應用平臺，包括但不限于文本對話(類 GPT)、信息搜索，圖文生成，負責包括不限于模型預訓練、微調、部署以及支持下游應用任務的持續(xù)優(yōu)化等。 6. 構建基于大模型應用的知識庫，包括但不限于知識建模、知識抽取、知識推理等；文本語料預處理、清洗、濾毒、標注、合成、多模態(tài)數(shù)據(jù)合成等。 7. 跟蹤行業(yè)動態(tài)，及時把握最新的AI技術以及應用，為公司提供技術創(chuàng)新建議。 任職資格/崗位要求： 1. 計算機科學、人工智能、數(shù)據(jù)科學、電子工程、數(shù)學或相關領域的本科或碩士學位。Computer Vision專業(yè)最好。 2. 具備大模型應用實踐經驗，熟悉市面上主流文本、多模型模型的特性，可以根據(jù)場景和需求，選擇不同的模型進行使用。 熟練掌握python/java等常見編程語言，熟練掌握各種AI框架，如Pytorch、Tensorflow等，熟練使用機器學習、深度學習算法。 3. 熟悉數(shù)據(jù)庫設計與開發(fā)，掌握關系型數(shù)據(jù)庫(如 MySQL、Oracle等)和非關系型數(shù)據(jù)庫(如 MongoDB、Redis等)的使用。 4. 了解分布式計算和模型部署技術（如 Kubernetes、Docker等） 5. 對新技術有強烈的學習欲望，具備快速學習能力，能夠持續(xù)關注和掌握最新的AI技術和應用。 Job Responsibilities: 1. Acquire relevant information from images for analysis, and innovate to create value for the team. 2. Gain an in-depth understanding of the company's business and take charge of requirements analysis, product design, architecture design, and development of AI product applications. 3. Apply AI algorithms or models to design and implement AI applications, including but not limited to Natural Language Processing (NLP), Computer Vision (CV), intelligent optimization, and prediction. 4. Develop core functional modules for AI product applications, including but not limited to data processing, algorithm integration, model training, and backend support for deployment. 5. Design and develop AI application platforms based on large language models, including but not limited to text dialogue systems (similar to GPT), information retrieval, image-text generation, and tasks such as model pretraining, fine-tuning, deployment, and continual optimization for downstream applications. 6. Build knowledge bases for applications of large language models, covering knowledge modeling, extraction, reasoning, text corpus preprocessing, cleaning, filtering, annotation, synthesis, and multimodal data synthesis. 7. Monitor industry trends, stay updated on the latest AI technologies and applications, and provide innovative technical suggestions to the company. Qualifications/Job Requirements: 1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Electronic Engineering, Mathematics, or a related field. 2. Hands-on experience with large model applications, familiarity with mainstream text and multimodal models, and the ability to choose different models according to scenarios and requirements. o Proficient in common programming languages such as Python and Java. o Skilled in using various AI frameworks like PyTorch and TensorFlow. o Familiarity with machine learning and deep learning algorithms. 3. Proficient in database design and development, with knowledge of relational databases (e.g., MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Redis). 4. Understanding of distributed computing and model deployment technologies (e.g., Kubernetes, Docker). 5. A strong desire to learn new technologies, with the ability to quickly acquire and continuously master the latest AI technologies and applications.