Job Summary: The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities: • Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.

• Major tasks focusing on data center devices, including AI accelerators, servers, storage, Ethernet switches, and power shelf. • Development of hardware diagnostics software • Development of automated testing processes for products • Integration or development of software for product stress testing • Support for manufacturing test development during new product introduction

＊了解虛擬化VDI 應用 ＊Restful API呼叫、設計以及程式撰寫。 ＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。 ＊協助研發網站新技術與新工具。 ＊提升自我網站前後端技術，行動應用及網路發展趨勢

• 規劃AI服務架構，協助客戶導入。 • AI相關數據架構、建模、應用分析規劃。 • AI相關產品、技術學習研究。

1. Develop Cluster Deployment/Management/Monitor Modules 2. Big Data Platform Operation (Hadoop, Spark, HBase, ...) 3. Support Customer to Maintain Big Data Platform

1. Web 程式設計與開發。 2. Web 介面設計與開發。 3. 開發與整合Kubernetes相關服務。

＊對於開發Java 網站有開發經驗 ＊了解Alfresco 架構與相似經驗開發。 ＊進行開發前後功能之相容測試與除錯修改、規格技術文件撰寫。 ＊協助研發網站新技術與新工具。 ＊提升自我網站前後端技術，行動應用及網路發展趨勢

1. 研究雲儲存元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 2. 雲儲存應用服務整合設計與開發 3. 協助存儲平台問題釐清解決與設計優化 4. 開發自動化佈署套件 5. 協助客戶資料中心運維技術支援

1.公司文件檔案的建立統整及管理。 2.接聽電話、聯絡進出貨事宜。 3.協助處理庶務性行政工作，事務機器叫修維護。 4.根據貨物、商品的庫存量，執行請購作業。 5.每月物料詢價，紀錄詢價。 6.熟悉Microsoft Excel、Word。 7.追蹤工程文件、每月請款細項。 8.負責外出送件、物件寄送及簡易銀行業務處理。 9.協助會計交辦事項。.

1.AIOT系統管理開發,應用於智慧工廠(智能安防與流程監控) 2.負責管理平台之 UI/UX 設計開發 3.串接後端 API，實現數據即時同步與高互動的使用介面 4.開發儀表板，將數據與分析結果以圖表直觀呈現，輔助決策 5.優化大量數據呈現時的瀏覽器效能，設計多維度的數據篩選與查詢機制

①了解當地會計政策及稅務政策，負責墨西哥廠區會計核算/稅務管理，執行總部會計政策； ②應對當地會計師事務所，回復相關審計問題及提供資料； ③定期與總部主管匯報會計相關工作，與總部保持良好溝通； ④負責團隊搭建及會計賬務處理複核工作； ⑤配合集團或總部推動專案開展、落地、實施，且完成當地專案計劃； ⑥完成主管交辦的其它事項。

負責LF package, WB BGA package, FC BGA package 以及第三代功率半導體封裝的後段製程 Mold, Trim, Form 和SMT 製程之以下事項 1.)NPI. 2.)製程開發. 3.)製程整合. 4.)製程良率改善. 5.)品質改善(SPC, FDC, FMEA, QCP, OCAP, SOP 等). 6.)Cost down. 7.)設備utilization 改善. 8.)PM System. 9.)量產製程及設備規範修訂. 10.)其他配合公司客戶要求改善事項

1. 確認專案需求、與釐清需求細節 2. 使用 Prototype 溝通/確認需求 3. 網站架構與策略規劃 4. 依照產品需求設計介面與功能 5. 進行使用者流程設計 6. 產品網站與APP視覺設計

一、擔任教學工作 (一)負責教導中高年級自然科學學科。 (二)負責班級經營級務，指導學生生活教育、學習態度與親師溝通等工作。 二、擔任科展社團指導老師，指導學生參加科展與奧林匹亞科學競賽。 三、落實教師專業成長 (一)參與教師備課、公開觀課與課程教學研究。 (二)入班觀課見學，分享觀課心得。 (三)每學年至少辦理公開課乙次。 四、其他交辦事項

【工作職責】 •負責 SAP ABAP 程式與 SAP Fiori 應用系統之設計、開發與維護。 •與功能顧問及技術團隊密切合作，蒐集並分析業務需求，提供專業技術解決方案。 •執行系統分析、程式除錯與問題排查，確保系統穩定運作並有效解決技術問題。 •持續關注並學習 SAP ABAP / Fiori 相關之最新技術、工具與最佳實務。 【Responsibilities】 •Design, develop, and maintain SAP ABAP programs and SAP Fiori applications. •Collaborate with functional consultants and technical teams to gather business requirements and deliver effective technical solutions. •Perform system analysis, debugging, and troubleshooting to identify root causes and resolve technical issues. •Stay up to date with the latest SAP technologies, tools, and best practices related to ABAP and Fiori development.

開發各種新世代寬頻通訊設備VoIP, ADSL, WLAN, Cable Modem, Ethernet、Home Lans, Internet Appliances, STB, WiMax, IP Phone, Video Phone, Smart Phone ....之軟體/韌體

1. 協助導入、推動及執行母公司各項人力資源專案 2. 有高科技產業人資經驗佳 3. 抗壓性高，能正面思考，溝通協調能力佳 4. 與墨西哥當地管理層密切合作，了解業務需求，制定和實施相應的人力資源策略和計劃 5. 監督並執行招聘流程：招募和留住高素質的人才，以支持業務增長和發展 6. 管理員工培訓和發展計劃，並建立積極的員工關係氛圍，提升員工滿意度和忠誠度

產品包含: 4G Mobile/portable Router 工作內容下列三擇一 (1)工作主要為 Platform integration 作業系統以embedded Linux為主 工作技能需求為 1. C, C++ Programming 2. VoIP: 熟悉SIP Protocol, IMS and Call feature 3. Work with the hardware team to ensure correct exercising of hardware 4. Work with the application team to ensure an adequate level of functionality 5. Provide testing facilities for engineer testing and manufacture. (2)工作主要為 Application development and debugging 作業系統以embedded Linux為主 工作技能需求為 1. C, C++ Programming 2. Gateway feature: 熟悉IPv6, IPv4, NAT, ALG, DDNS, etc. 3. Management protocol: TR069, OMCI, etc. 4. Work with the application team to ensure an adequate level of functionality 5. Provide testing facilities for engineer testing and manufacture. (3)工作主要為 Android/iOS應用程式開發 作業系統為Android/iOS 工作技能需求為 1. Java/Swift/Objective-C programming language 2. 熟悉網路協議包含IPv6, IPv4, HTTP, NAT, ALG, DDNS, etc. 產品包含: 4G Mobile/portable Router

1. Performing reliability testing including Mechanical, Environmental, IPX and chemistry tests...etc. 2. Reliability test equipment customs clearance, setup, calibration, maintenance and test data analysis 3. Arranging technician to perform every reliability tests, track the test schedule, collect the test datas and compose test report. 4. Providing reliability test report and highlight reliability test issues 5. Optimizing the reliability test methods and test specifications 6. Training on testing skills and ensure the SOP has been followed strictly; 7. Follow-up and push-up with the test to meet the schedule;

Job Summary: • The engineers should have comprehensive knowledge of AI Large language models, such as GPT-4, and their underlying mechanisms, including an understanding of natural language processing, machine learning, and neural networks. Key Responsibilities: • Construct, train, and fine-tune large language models to meet specific organizational requirements and goals. Implement strategies for AIGC to create high-quality content. • Integrate AI technologies into existing products and services, ensuring they align with business objectives and enhance user experience. • Work collaboratively with cross-functional teams and provide technical guidance to non-technical members. Stay updated with AI advancements and educate team members on new developments. • Continuously monitor the performance of AI models, making adjustments and improvements based on data analysis and business needs. • Maintain effective communication with other teams to ensure collaborative project success. • Engage in ongoing learning and research to identify and implement new and appropriate Large Language Model technologies to enhance overall efficiency.