轉職熱搜工作

(一)汽車零件圖面(3視)視圖 (二)汽車零件模具開發 1.工法檢討 2.模具試模 3.零件測定 (三)汽車零件試組立 1.零件溶接試作 2.治具開發 2-1.零件仕樣作成 2-2.治具驗收 3.零件組立後測定 廠商相關 1.治具、金型、檢具仕樣檢討及進度跟催 2.治具、金型、檢具驗收 3.零件測定 客戶側 1.客戶有關部品、金型、治具、檢具檢討 2.生準進度報告 3.零件問題檢討

- 設計AI平台的技術架構 - 優化模型管理、語料處理和監控工具，保障平台的高效運行和穩定性 - 協助整合第三方成熟產品完成客製化需求

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

1.進行例行性售後服務（如：客戶拜訪、產品狀況了解及客訴處理）。 2.汽機車電池解剖作業 3.基本文書作業、資料處理及文件管理 4.短期出差處理客訴案件(配備公務車) 5.其他主管交辦事宜

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。

＜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、負責開發台灣區電子/半導體/化工產業等主要標的大型客戶。 2、負責開發台灣區大型客戶/國營企業/高科技系統工程公司專案客戶。

1.協助新機種開發各階段測試作業 2.電池性能評價測試(年度可靠性測試與驗證) 3.各類物料特性測試 4.專案及委託測試與改善 5.不良原因解析與改善 6.試驗設備操作及儀器校正維護 7.協助內部與外部稽核，確保符合品質系統要求 8.上級指示或臨時性交辦事務對應