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職缺名稱公司名稱上班地點工作經驗更新薪資待遇
- 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 今天剛更新展開
Project Managers who are responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. 1. Familiar with project management tools, strategic planning and risk management techniques. 2. Demonstrated ability to motivate / drive multidisciplinary teams to achieve objectives (performance, quality, cost, timelines) 3. Lead and coordinate the project teams to achieve the project scope, goals and deliverables 4. Monitor project KPIs and ensure adherence to commitments. Report to senior management on regular base. 5. Interact with customers: facilitate a bi-directional communication. (requirements, status, decision to be made, etc...) 6. Manage project budgets and BoM cost 7. Plan and schedule project timelines 8. Constantly monitor and report on progress of the project to all stakeholders 9. Present reports defining project progress, problems and solutions 10. Implement and manage project changes and interventions to achieve project outputs
- 月薪30000~38000元 高雄市大寮區 工作經歷不拘 1天前更新展開
工作職責-維持廠區運轉，使廠內生產順利 1.廠區、辦公室維護，聯繫廠商進行工務修繕與監工 2.每日駕駛手排車載送生產物料(近距離) 3.產線相關設備或工具的管理(電動起子、堆高機、油壓升降台、貨車等) 4.協助現場組裝 5.協助代理廠內文書作業 6.其他廠務支援作業
安胎假家庭照顧假全勤獎金年節獎金年終獎金 - 面議（經常性薪資達4萬元或以上） 新北市新店區 5年工作經驗 2天前更新展開
你會進入電動車的核心作業系統團隊，負責車內軟體的整體架構開發，提供車內軟體服務與控制系統整合執行框架，降低軟體開發的複雜度。你的工作內容包含： 1. 設計並開發車內軟體系統架構，確保能符合功能需求規範 2.建立模組化開發流程，促進各模組獨立開發 3.導入軟體工具，加速開發時程並降低複雜度 4.建立編譯與 CI/CD 系統，將各模組自動化整合編譯成為最終軟體映像 5.使用並熟悉整車軟體設計開發工具
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 2天前更新展開
1.董事會及功能性委員事項 2.股東會年報/議事冊編制 3.關聯公司董事會/股務事務 4.重大訊息公告 5.董事會績效評鑑事宜 6.ESG例會G小組考核指標回覆
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 1年工作經驗 今天剛更新展開
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
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 2年工作經驗 今天剛更新展開
＊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
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 3年工作經驗 2天前更新展開
1. 負責AI應用資料視覺化顯示與雲端顯示介面 2. 協助AI Framework雲端顯示介面開發 3. 持續學習新技術並導入相關系統開發
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 2年工作經驗 今天剛更新展開
1. Develop Cluster Deployment/Management/Monitor Modules 2. Big Data Platform Operation (Hadoop, Spark, HBase, ...) 3. Support Customer to Maintain Big Data Platform
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 2年工作經驗 今天剛更新展開
＊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
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 2年工作經驗 2天前更新展開
1. 研究雲平台核心元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 2. 平台上層應用服務整合設計與開發 3. 協助平台問題釐清解決與設計優化 4. 平台架構設計與優化
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 2年工作經驗 今天剛更新展開
• 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
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 工作經歷不拘 今天剛更新展開
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.
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