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*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

SCH design and review Production specification study and proposal work out PCB layout review and design guide check Function verification and issue debug Team member lead.

1. 數據資料前處理（包含數據清洗、特徵工程） 2. 機器學習、深度學習或其他相關演算法開發 3. 數據與機器學習模型可視化處理 4. 依專案需求，參與系統架構流程規劃 5. 協同前端、後端

【公司簡介】 LSC Ecosystem (鄰近桃園機場捷運A7站) 的使命是在電動載具價值鏈上扮演關鍵領航者，你想對產業發揮自己的影響力嗎？在這裡你能夠有機會在電動載具的產業裡，串連軟體與硬體、協助傳統

1. 規劃並導入AI、大數據、邊緣運算數據架構及新技術，制定使用技術規範及標準作業流程，整體技術發展輪廓與藍圖。帶領及管理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉

Responsibilities: Performing engineering management duties such as planning, engineering design, tender, QA and commissioning to support the MEP and Building Services Project Manager Liaise with clients, project managers, contractors, lead projects and produce construction designs May station on construction site as resident engineer representing design team or commissioning team. Benefits: 5-day working week Annual leaves National Health Insurance, Retirement Scheme, Labour Insurance Performanc

我們正在尋找一名資料工程師，加入我們不斷成長的團隊。 您將負責發掘、尋找、收集、清理和整理各種不同來源的資料。 建立和維護資料基礎設施，以供我們的數據團隊使用。 參與產品開發、維護與品

(1)數據資料維護，判斷資料問題並建立清整流程 (2)數據資料擷取、轉換和載入(ETL) (3)依視覺化和前端需求建立資料供應機制 (4)與PM合作，釐清客戶需求轉化為數據分析任務 (5)針對分析結果進

工作內容 1.規劃並開發AI、Big data模型。 2.智慧製造、AI、AIoT、Big data、邊緣系統相關AI軟體開發及運維。 3.配合部門主管工作調度、分配。

Amazon Web Services (AWS) has an immediate opening for an Infrastructure Delivery – Network Technician. We are currently expanding our Infrastructure Operations team in AWS and are looking for a highly-motivated Network Technician to join our growing team at data center site. Mission of Infrastructure Delivery (ID) is to deliver network capacity on time. ID team collaborates with other Data Center and Networking teams to scale and prepare network infrastructure capacity. ID team members are resp