清大專區

工作內容： ＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Type Option：＞ *Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. *Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. *Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

＜About the job＞： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Description＞： •Design, implement and refine advanced Statistical Modeling/Algorithm Models •Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. •Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. •Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. •Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. •Able to use the cutting-edge technologies to solve the practical problems ＜Skills＞ •Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. •Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). •Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. •Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. •Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization

＜About this job＞ You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. ＜Job Description＞ As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! ＜Key Responsibilities＞ - Develop responsive and interactive frontend web applications using JavaScript and Vue.js. - Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. - Build applications and schedule tasks based on client and project requirements. - Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. - Set up and configure essential services such as databases, NginX, and Docker environments. - Ensure smooth deployment processes by utilizing CI/CD concepts and automation. - Collaborate closely with team members to improve workflows and optimize the development cycle. ＜Required Skills＞ - Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. - Backend: Solid understanding of Java and Python for API development. - Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). - Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. - Tools and Technologies: 。Docker and Git for containerization and version control. 。NginX for web server configuration and management. 。Familiarity with CI/CD concepts and automation techniques to streamline deployments. - Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. - System Architecture: Understanding of distributed systems and hardware architecture concepts.

＜About the job＞ As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. ＜Job Description＞ *Type1：AI Project Manager Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. ＜Qualifications＞ 1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 2. Highly proactive, self-motivated, and accountable. 3. Willing and able to travel internationally for approximately 1-2 months per year. ＜Required Skills＞ 1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Familiarity with manufacturing processes 2. Possession of project management certifications such as PMP or Scrum. 3. Intermediate or above English proficiency in listening, speaking, reading, and writing. *Type 2：AI System Analyst Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. ＜Required Skills＞ 1. Practical experience in requirements gathering and analysis and change management 2. Experience co-working with front-end and back-end system development teams. 3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.

1. 對外包商進行稽核（QPA過程稽核，QSA體系稽核等） 2. 外包商品質問題溝通及處理，改善對策的確認與落實 3. 監控外包商生產品質 4. 抽樣檢驗外包商生產之產品

主要進行以下範疇之研究或專案(實際將依能力與興趣) 1.量子計算相關實驗或理論分析 (任何物理系統，例如：冷原子或離子、超導量子系統、量子點、光子、矽晶體等等） 2.原子物理背景相關 - 雷射冷卻、原子捕捉、雷射光譜等等 3.量子力學相關計算與模擬 - Mathematica/Python/Matlab 4.雷射穩頻相關技術 5.數位控制 - FPGA 程式撰寫 6.數位資料擷取 - 針對實驗系統撰寫相關控制程式 7.數位或類比電路設計 8.微米或奈米級半導體元件製程相關經驗 9.計算電磁相關模擬計算 - COMSOL 或是 ANSYS HFSS 10.計算機系統與架構 11.語言程式編譯、作業優化排程、人機操作介面撰寫

1.帶領工程團隊，制定並執行SMT製程標準與工藝改進； 2.負責新產品導入（NPI），樣品製作與試產； 3.維護SMT設備正常運作，解決產線技術與品質異常； 4.優化生產流程，降低生產成本並提高良率； 5.培訓工程人員，提升團隊整體技術水準。

1.對接及整合A客戶需求，制定項目計劃，主導自動化方案設計方向 2.推動客戶承認設備方案，對項目開發的各個階段進行跟進 3.針對自動化設備異常，重點跟進，製作設備MIL和FACA *須配合職務需求出差派駐

1.拓展光達 （LiDAR）海外市場。 2. 獨立開發新客戶、新市場 ，掌握產業趨勢及尋找客戶需求。 3. 解決客戶問題及提升服務。 4. 參加國際性展覽並與客戶合作規劃各項事宜 5. 其他主管交辦事項。

1. 制定自動化設備視覺應用改進完善方案 2. 視覺應用工作整體把控 3. 機器視覺方案設計及可行性分析 4. 自動化機器視覺算法設計及開發 5. 與客戶檢討設備方案及驗證狀況改善推動 6. 有良好的帶隊能力或專案驅動力

1、負責軟體之分析、設計及程式撰寫。 2、系統異常問題處理及日常維護。 3、提供生產產線技術性支援及解決產線異常。 4、進行跨部門溝通及合作。

1. 建立IAD 品質質量系統 2. 建立與管理品質室 3. 建立重要模組與設備的SIP 4. 建立供應商品質系統稽核 5. 品質管理與工具培訓 6. 自動化設備負責人

1.具備光學鏡頭光路設計、元件設計或系統設計能力 2.協助進行新項目的評估與開發，優化產品設計及製程問題 3.協助光學規格制定與DOE驗證 4.熟悉光學測試環境架設，滿足光學性能測定需求

Linux 系統管理與維運: 負責 Linux 伺服器部署、設定、維護及效能調校。 監控系統運作狀況，進行故障排除與資源優化。 Kubernetes 與 Rancher 平台管理: 建置、維運 Kubernetes 叢集（含部署、升級、擴縮、 troubleshooting）。 使用 Rancher 進行多叢集管理、權限控管、工作負載管理。 備份系統管理（Dell NetWorker）: 設計與維護備份策略、排程、異常處理。 使用 Dell NetWorker 進行備份/還原測試，確保資料安全性與可用性。 定期檢視備份成功率、改善系統健康度。 自動化與改善: 使用 Shell Script、Python 或 Ansible 等工具提升維運效率。 協助撰寫與維護系統文件、標準作業流程（SOP）。 跨部門協作與問題處理: 與應用團隊、資安團隊協作，分析並改善系統運作問題。 參與重大事件處理與根因分析。

[1]架設、維護光學與攝像頭測試工站，分析測試不良 [2]處理生產過程中所遇到的問題，協助客戶解決測試問題 [3]依客户需求，完成測試工站相關實驗并对實驗数据进行分析、撰寫實驗報告 [4]降低產品重測率，提高測試效率 [5]善於部門溝通，團隊合作

[1] 與客戶合作，定義新產品測試工站的測試需求（測試項目+測試環境） [2] 負責對機構設計/電子設計/軟件測試等團隊資源進行整合，進而完成工站軟硬件開發目標 [3] 負責工站架設、軟體驗證、治具驗證、治具維護、產線測試異常分析，確保新產品試產各個階段的順利進行 [4] 負責工程階段工站到量產的順利交接，主要包括：良率、重測率和UPH等達標

產品：筆電 1. 主要負責風扇機構,流場和扇葉設計, 並需組裝Mockup樣品及測試. 2. 需與客戶、廠商及廠內各部門人員有效率溝通, 獨當一面作業能力. 3. 產品應用及分析能力.

「遠傳心生活」團隊努力打造良好的用戶體驗產品，目前正在尋找對開發充滿熱忱、並探索使用 AI 工具更有效率工作的夥伴加入我們。 1. 具備技術溝通能力，能在敏捷團隊中與不同職能（BD/PO/Designer/Frontend）共創解決方案。 2. Java、TypeScript、NoteJS開發經驗，須熟悉物件導向 (OOP) 和微服務開發經驗，重視程式碼的簡潔與可維護性。 3. 了解 Azure 雲端平台服務相關知識，並熟悉devOps 流程。 4. 熟悉容器化架構 (Docker / Kubernetes) 及其相關生態系與維運概念。 5. 具備自我學習與技術探索的熱誠。

1 公司網路整體架構的規劃設計與建置實施 2.資訊機房設施規劃設計與管理 3.負責根據業務需求，對網路進行改進和優化設計 4.負責廠區應用系統上線所需的網路架構設計與評估 5.OA網路工程建置、骨幹網路建設與維護、改造規劃 6.資訊安全建置評估以及資安系統的維護管理 7.分析處理複雜網絡&安全問題 8.跨部門人員溝通 9.負責台灣和印度的網絡建設與維護

1、帶領團隊負責公司台灣/印度/美國/墨西哥核心網路、IT應用系統的建設，以及終端管理和日常IT運維 2、公司網路整體架構的規劃設計與建置實施 3、資訊機房設施規劃設計與管理 4、負責根據業務需求，對網路進行改進和優化設計 5、負責廠區應用系統上線所需的網路架構設計與評估 6、OA網路工程建置、骨幹網路建設與維護、改造規劃 7、資訊安全建置評估以及資安系統的維護管理 8、分析處理複雜網絡&安全問題 9、跨部門人員溝通及團隊管理