AI Engineer Intern at Philips

Suzhou City, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI, Data Science, Natural Language Processing, SQL, Data Analysis, Knowledge Base, Semantic Retrieval, Web Applications, Data Visualization, Logic Analysis, Problem Solving, English Proficiency, Transformers, LangChain, Pandas, NumPy

Industry

Hospitals and Health Care

Description

Job Title AI Engineer Intern Job Description 在这个岗位上，您将有机会 In this position, you will have the opportunity to 参与企业级大语言模型（LLM）的本地化部署与性能优化；学习如何构建企业知识库（Knowledge Base），实现企业内部知识问答与语义检索；参与开发智能数据分析平台：用户通过自然语言提问，系统自动识别数据库表、生成 SQL 语句并执行分析；深入理解自然语言处理、语义解析与 SQL 生成等核心技术；接触并实践 AI + 数据智能结合的前沿技术，探索生成式 AI 在企业场景下的落地应用。您的职责是 Your responsibilities 参与大语言模型（LLM）的本地部署、微调与调用接口开发（如 GPT、Llama、DeepSeek 等）；负责企业知识库搭建，包括文档解析、向量化、索引构建与检索优化；参与自然语言到 SQL 的自动转换模块设计与实现；设计并实现数据分析平台的核心功能，包括数据库连接、SQL 执行与结果可视化；优化模型在本地运行的性能、内存占用与响应速度；协助团队完成 AI 系统的测试、文档撰写与部署上线工作。要成功应聘本职位，您应当具备以下技能和经验 To be successful in this role, you should have the following skills and experience 本科或硕士学历，数据科学/计算机科学/信息技术/人工智能/软件工程等相关专业熟悉 Python 编程，掌握常见AI与数据科学库（如 Transformers、LangChain、Pandas、NumPy 等）；熟悉一种或多种主流大模型框架（如 Hugging Face Transformers、Ollama、vLLM、Llama.cpp 等）；了解 RAG（Retrieval-Augmented Generation）技术原理，有知识库或语义检索相关经验者优先；熟悉 SQL 语法及数据库原理，能独立编写并调试 SQL 语句；有 Web 应用或数据可视化项目经验者优先；具备较强的逻辑分析能力、学习能力与问题解决能力；较好的英语听说读写能力(CET4及以上) 岗位独享的福利待遇包括公司关注员工个人发展，并拥有完善的培训体系包括但不限于各类产品培训，你将有机会得到更全面的专业技能发展。我们鼓励你在一个自由融洽的团队氛围中自我提高，发挥特长。此岗位为日常实习生岗位。 At Philips, we believe that every human matters. As a global health-tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life. For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health. Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success. It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism. To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace. Know Your Rights

Responsibilities

You will participate in the local deployment and performance optimization of large language models (LLMs) and assist in building enterprise knowledge bases. Additionally, you will work on developing a smart data analysis platform that automatically generates SQL queries from natural language questions.