交大專區

公司派駐台電嘉義服務所，依照台電服務所規劃的日期與區域，到現場將該區域電表指數登錄。 工作區域：嘉義市區、民雄、水上、中埔（每月工作16天) 外勤工作，熟悉該地緣環境佳，薪資論件計酬。 上班交通工具：自備機車。

壓力容器設計經驗,熟化工機械,熟悉3D設計軟體INVENTOR,AUTOCAD,有工程公司背景優

1. 薪資依學經歷調整 2. 高中職以上；工科背景; 具機械視圖能力 3. 可依施工圖量測CNC 車、銑床加工部品 4. 熟悉量測儀器(游標卡尺、分厘卡、焊道規；其他量具) 5. 首件檢驗：首件、首批尺寸量測 6. 製程巡檢，加工件尺寸量測 7. 材料進料 ; 成品出貨檢驗 8. 焊接外觀目試檢驗VT 9. 不合格品複判與處理；現場作業異常之回報、異常改善之確認 10.主管交辦事項處理、追蹤 11.具備焊接檢驗、非破壞檢驗相關證照尤佳(專業加給另議) **主動積極;樂於學習**

1.半導體機台設備安裝服務、維修、例行性設備保養 2.提供客戶技術支援、教育訓練 3.追蹤並即時處理客戶反應問題 4.具備基本軟體流程查修、功能維護能力 5.無售服案件時，協助廠內工作事宜 6.須配合任務Oncall、加班、出差、駐廠（提供差旅費、宿舍、公務車） 7.其他主管交辦事務

1.交付半導體自動化設備至客戶場域，直至驗收完成。 2.設置、操作與維護Stocker、AMRS與MCS的應用整合程式。 3.接受客戶反饋意見並且快速專業回覆解決。 4.發覺客戶新的應用需求，轉換開發新訂單。

. 熟悉 WAN / LAN 建置及問題排除 . 具 MS SQL 、 Oracle 建置及維護經驗 . 熟悉 Windows 操作及問題排除 . 略懂 Linux / FreeBSD

● 資訊系統管理：維運及管理資訊系統服務。 ● 資料分析處理：撰寫程式分析及處理大量氣象數據，整理並產生客戶需要的格式。 ● 資訊安全作業協辦：協助團隊辦理資訊安全相關作業，包含處理系統安全性問題、定期盤點等。 ● 客戶溝通與服務：作為團隊與氣象資料使用客戶的聯繫窗口之一，協助處理相關的意見回饋與問題溝通。 ● 專案進度管理：負責專案會議安排、資料彙整、進度報告追蹤等。

1. 負責無線產品天線研發設計測試 2. 新產品研發到量產的技術轉移及製程改善 3. 新技術量測規劃(5G及毫米波量測)

1. 有LTE 產品開發經驗3年以上，熟悉 電路板設計、LTE Calibration/Verification、3GPP Test、RF 設計\Matching 等技能。 2. 有WiFi 產品開發經驗3年以上，熟悉 電路板設計、802.11a/b/g/n/ac、WiFi Calibration/Verification、WiFi 系統整合測試、RF 設計\matching 等技能，有天線設計經驗者尤佳。

1. Discuss with customer, come out proposal, review and negotiate design spec. if any change 2. Survey & review proper compoents for system design. 3. Schematic design, come out constrain guideline for layout and layout design/review 4. Measure signal integrity and address them if any issues. 5. Collaborate with functional teams for product qualification and troubleshooting. 6. Cooridinate with MFG team for material pipeline, manufacturing proto unit and manufacturing test.

1. 負責結構設計研發 2. 自動化設備研發測試 3. 零組件開發測試 4. 自動化控制系統設計開發 5. 負責機器視覺程式開發 6. 控制元件選用 / 感測元件運用

1. IPCam和相機相關產品電子電路設計 2. 相關電路驗證和量測 3. PCBA測站不良品分析與良率改善 4. 產測分析與良率改善 5. 產品規格檢討 6. 解決工廠和客戶問題 7. 與芯片廠商溝通及解決問題

1.伺服器主板規劃與設計 2.產品規格驗證與分析

產品：Gateway/STB/OTT 1. 產品解決方案可行性研究 2. 產品硬體規格制訂與報價 3. 產品硬體線路設計與測試 4. 產品法規認證與生產支援 5. 專案計畫會議討論 6. 產品2nd source導入

1. Product EMC Design and Verification test. 2. Product EMC Issue Analysis and Debug. 3. Product EMC World-wide Certification.

CESBG 產品線: Server產品 1. 伺服器BOM管理及維護 2. 存儲器BOM管理及維護 3. 電子元件PCN 管理作業

Job Summary 此職位為偏軟體與資料工程導向的工程師角色，主要負責將實際使用者 (User) 需求轉化為可落地的資料流程、後端服務與視覺化應用。 工作重心聚焦於資料處理、系統整合、效能與穩定性，並透過與使用單位的密切溝通，持續優化系統與報表，確保資料能被正確且有效地應用於實際業務場景。 Key Responsibilities - 與內部使用者（如工廠、營運或相關單位）溝通需求，釐清實際使用情境，並將需求轉化為具體的系統設計、資料流程或報表規格 - 使用 SQL、Python 進行資料處理、清洗與轉換，設計與維護穩定的資料管線（ETL / Pipeline） - 開發與維護後端服務或 API，支援資料存取、系統整合與應用功能 - 規劃並開發 BI / Dashboard 視覺化報表（如 Tableau），確保資料正確性、可讀性與實際可用性 - 與其他工程師、IT 或跨部門團隊合作，進行系統串接、資料整合與流程優化 - 針對資料量成長或使用情境變化，進行效能調整、架構優化與問題排查 - 持續關注資料品質與系統穩定性，主動發現並改善影響使用者體驗的問題 ※ 本職位重視將資料與系統「做穩、做對、做給人用」，而非以模型或演算法為主要解決手段。

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

1. 協助新產品開發＆替代料導入 2. 替代料驗証進度追蹤及記錄 3. 零件品質管理 4. 供應商關係管理 (供應鏈狀態/專業技術諮詢) 5. 零件系統與流程優化與管理,包含PCN/ECN/EOL管理 6. 2nd source零件資料庫維護 7. 溝通與協調零件驗證事宜, 報告給 Dell CE team 8. 2nd CM (contract Manufacturer) project (OEM)

＜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/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) ．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. ．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, 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. ＜Skills＞ ．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), 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. ．Big on finding the many insights based on the data and being passionate and patient about working with complex data.