轉職熱搜工作

1確認及督導人員&機台作業/處置產出不足 2執行DRB/追蹤異常處置&反應及協助處理品質異常 3反應或回饋內外部/客戶需求資訊 4督導產品Q-TIME管制符合規範 5交接進度/WIP/品質/相關事項

具塑膠射出經驗可，若有液態矽膠射出經驗優先.會調模 負責塑膠射出及產品加工機械操作等 工作技能 射出成形之中止、換料、換色處理 模具安裝與調整 模具維修及保養作業 協助改善產品良率 具備良好的跨部門溝通能力

1.Experience in signal integrity simulation of system boards and lab instruments, including VNA and TDR. 2.Experience with PDN characterization and trade off performance & cost. 3.Excellent communication and presentations skills are mandatory

＜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.

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.設備故障維修及機台性能維護, 保證設備生產效率; 機台測試良率維護與提升。 2.記錄跟進新產品導入中的組裝問題和發現對具體問題的調查、研究和分析. 3跟進解決或上報問題 4.參加新技術測試的實施 5.確保製造過程的優化，保證產出和品質

【核心開發與資料庫維護】 1.公司內部 ERP 系統及 Web 應用系統之開發、維護與功能擴充（使用 C# / ASP.NET） 2.資料庫設計、T-SQL 撰寫、Stored Procedure 維護及效能調校（使用 SQL Server） 3.前端網頁頁面開發與維護 【系統分析與維護】 4. 進行系統需求訪談、流程分析、撰寫技術文件 5. 現有系統問題排查、Debug 與程式碼優化 6. 使用 Git 進行程式碼版本控制，並具備 Docker 使用及佈署經驗 【內部 IT 技術支援】 7. 協助同仁排解電腦軟硬體基本問題（Windows 環境、印表機、網路連線等） 8. 資訊設備（PC、伺服器、週邊）日常維護與採購諮詢協助 9. 配合主管視業務範圍指派之工作