轉職熱搜工作

作為推動內部數位轉型與 AI 落地的智囊團隊，您將發揮獨立作業能力。專注於將複雜的商業痛點，轉化為高效、可擴展的雲端數據架構，並參與規劃 AI 專案從 PoC（概念驗證）到實際上線的專案執行。 1. 企業級架構設計與實作 (Architecture Design & Hands-on Implementation): •針對龐大的線下實體營運數據與線上系統（如 POS、線上服務、物流、金流），參與設計並建置高可用性的混合雲/公有雲架構。 •制定 MLOps 流程與規範，確保內部 AI 模型能穩定部署、監控，並與現有老舊系統 (Legacy Systems) 順暢對接。 2. 商業需求轉譯與技術顧問 (Business Translation & Technical Consulting): •深入業務單位（如營業、行銷、供應鏈）釐清實務痛點，將模糊的商業需求「翻譯」成明確的技術規格與開發藍圖。 3. 跨部門技術協作與推進 (Cross-functional Tech Collaboration): •擔任專案的核心技術推手，具備強大的「技術說服力」，能與內部 IT 部門、數據工程師以及外部技術供應商進行商務討論。 •能自行打造MVP（最小可行性產品）或 PoC 模型，展示 AI 落地的商業價值。

提供客戶公有雲、AIOT、資料分析應用架構設計規劃 1. 與資料科學家合作，規劃並協助客戶導入雲端服務架構。 2. 規劃符合客戶需求的雲端/資料分析系統架構與建議書撰寫。

1.總務相關業務、事務機器、事務性用品管理並維護辦公事物及庶物用品，有效管制器械及用品總量。（如：行政庶務、庶務用品控管、叫修維護） 2.零用金、財產定期盤點、編製財產管理編號及相關報表、印製及黏貼財產標籤。 3.擔任協力廠商窗口，聯繫維修、清潔及安全、工程維修、故障排除等。 4.採購及管理資產設備並了解各部門採購需求。 5.每周定期巡視/維護辦公室環境清潔。 6.基礎資訊相關系統權限管理及軟、硬體問題處理。 7.其他專案規畫執行及主管交辦事項。

＜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/Algorithm Models •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. •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. •Able to use the cutting-edge technologies to solve the practical problems ＜Skills＞ •Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, 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. •Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization

1. 開發數據平台的各項模組。 2. 數據平台模組功能開發與測試(後臺管理/儀表板/統計報表 ...等)。 3. 機器學習、深度學習、統計與作業研究等技術設計、協助及管理資料分析。 4. 開發自動化報表、設計自動化系統架構。

職責： 1.負責專案的規劃、執行與監控，確保專案按時、按質完成。 2.洞察公司內部流程可優化之處，協助提高運營效率，運用 AI 與機器學習模型分析營運數據，找出效率瓶頸並提出智慧化改進方案。 3.與各部門協調溝通，利用 AI 協作平台（如 Notion AI, ClickUp ）強化跨部門資訊同步與決策效率。 必要技能： 1.熟悉專案管理工具與方法，如敏捷開發等。 2.具備流程分析與優化的能力，熟悉流程圖繪製工具。 3.良好的溝通協調能力，具備 Prompt Engineering 技巧，能精準定義需求與 AI 協作產出。 4.具備ERP/ BPM / KM / WMS系統1年以上使用經驗。

＜About the job＞ As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. ＜Job Description＞ *Type1：AI Project Manager Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. ＜Qualifications＞ 1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 2. Highly proactive, self-motivated, and accountable. 3. Willing and able to travel internationally for approximately 1-2 months per year. ＜Required Skills＞ 1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Familiarity with manufacturing processes 2. Possession of project management certifications such as PMP or Scrum. 3. Intermediate or above English proficiency in listening, speaking, reading, and writing. *Type 2：AI System Analyst Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. ＜Required Skills＞ 1. Practical experience in requirements gathering and analysis and change management 2. Experience co-working with front-end and back-end system development teams. 3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.

1.設備整體規劃與機構設計： 主導自動化設備（尤以半導體、高精密量測設備、IC傳輸機構為優）的架構規劃、規格制定與細部機構設計。 執行精密機構設計（如：垂直升降/水平縮回機構、浮動結構、真空吸附系統等），並進行嚴謹的公差分析（Tolerance Analysis）。 數位優化與 AI 工具應用： 導入並利用 AI 輔助設計工具（如 Generative Design 創成式設計、AI 腳本編寫、參數化建模優化等），加速產品開發週期。 運用數位化工具進行技術文件管理、設計邏輯推導或跨團隊技術溝通。 工程模擬與分析驗證： 負責結構靜力學/動力學模擬分析（FEA），確保設備結構剛性，並預測/計算設備組件的平均故障間隔時間（MTBF）。 2. 實驗與驗證 (V&V)： 設計實驗以獲取物理數據，並將模擬結果與實際測試（如熱感測、應變計量測、震動台測試）進行比對與校對。 研發流程優化： 開發自動化腳本（Python/MATLAB）以串接 CAD/CAE 流程，提升模擬迭代效率。