大语言模型算法工程师

职位描述
岗位职责：
1. 大语言模型本地化部署，建立公司的大语言本地模型，导入公司内的知识库。
2. 深入理解公司业务，负责AI产品应用的需求分析、产品设计、架构设计与开发。
3. 应用AI算法或模型，设计并实现AI应用。
4. 负责AI产品应用的核心功能模块开发，不限于数据处理、算法集成、模型训练与部署的后端支持等工作。
5. 负责设计和开发基于大模型的AI应用平台，包括但不限于文本对话(类 GPT)、信息搜索，图文生成，负责包括不限于模型预训练、微调、部署以及支持下游应用任务的持续优化等。
6. 构建基于大模型应用的知识库，包括但不限于知识建模、知识抽取、知识推理等；文本语料预处理、清洗、滤毒、标注、合成、多模态数据合成等。
7. 跟踪行业动态，及时把握最新的AI技术以及应用，为公司提供技术创新建议。
任职资格/岗位要求：
1. 计算机科学、人工智能、数据科学、电子工程、数学或相关领域的硕士学位。
2. 具备大模型应用实践经验，熟悉市面上主流文本、多模型模型的特性，可以根据场景和需求，选择不同的模型进行使用。
熟练掌握python/java等常见编程语言，熟练掌握各种AI框架，如Pytorch、Tensorflow等，熟练使用机器学习、深度学习算法。
3. 熟悉数据库设计与开发，掌握关系型数据库(如 MySQL、Oracle等)和非关系型数据库(如 MongoDB、Redis等)的使用。
4. 了解分布式计算和模型部署技术（如 Kubernetes、Docker等）
5. 对新技术有强烈的学习欲望，具备快速学习能力，能够持续关注和掌握最新的AI技术和应用。
Job Responsibilities:
1. Establish the company's Deepseek large language local model and build an internal knowledge base within the company.
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.