轉職熱搜工作

1.機器、工具機、發動機、工業廠房及設備之顧問及設計 2.建立管制標準與程序，以確保機器、工具機、發動機、工業廠房、設備之安全及有效運轉 3.機器、工具機、發動機、工業廠房及設備維修之指導 4.蒐集市場資訊包含：市場需求、顧客喜好等資料 5.針對市場或功能的需求進行車體、引擎、結構等相關研發 6.根生產部門進行溝通協商，調整研發內容 7.依照顧客、公司提出之研發方向或自行提出方向做研究 8.工業4.0，物聯網，單晶片控制，影像識別 9.參考國內、外文獻規劃、分析可行方向 10.對開處方案進行研究、實驗 11.協助製造或製程工程師技術指導，確保製造過程正確 12.將研發、開發、實驗過程做紀錄，作為公司歷史資料或避免智產權問題 13.產業資訊蒐集與分析、產學合作媒合

ERP數據分析 / 資料庫分析專員 【工作內容】 從 ERP / SQL 資料庫擷取與整理資料 建立報表與儀表板，提供決策數據 分析生產效率、庫存、訂單等KPI 找出流程瓶頸與異常，提出改善建議 與各部門溝通需求，提供數據支援 規劃優化數據結構，提升資料品質 【必要條件】 熟悉 SQL、資料庫、Excel進階功能 具資料分析經驗，邏輯清晰 良好溝通與跨部門協作能力 【加分條件】 有ERP系統或製造業經驗 熟悉 Power BI / Tableau 或 Python 具統計／預測模型能力 【特質】 主動、細心、數據敏感 喜歡用數據解決問題

負責公司行政事務及活動文宣設計，包括平面宣傳品、海報及DM等支援顧問行銷資料。 【工作樣貌】 1.品牌推廣與行銷活動規劃，經營公司社群媒體（FB、IG、LINE、YouTube）及官網維護 2.製作IG、YT影音內容及圖文排版。（與大移民廣宣部對接） 3.社群媒體（FB、IG、LINE）與數位行銷活動，提升品牌能見度企劃與執行 4.展覽統籌：事前準備文宣、背板設計，與行政部對接行政事宜 5.撰寫SEO行銷文案，進行數據分析與優化，提升用戶參與度及搜尋量並定期更新網站內容和活動資訊，具SEO網站操作、HTML5、CSS、JavaScript等實作能力加分 【職缺條件】 1.專案管理能力，習慣每件任務都有一個完成的期限 2.具Illustrator、Photoshop、Indesign等美編軟體基礎能力尤佳 3.熟悉數位廣告投放、分析數據、效益評估及優化(FB/IG/Google Ads/GDN....etc)等加分 4.對行銷有熱情、對新事物充滿好奇探究的心、不斷更新以跟進時下媒體流行趨勢 5.主動反應快、抗壓力高、具溝通協調能力、願意學習的態度、Open-minded 6.創意發想力。Think outside the box 7.不能只有天馬行空的概念，需具備實際方案並能夠確實執行 8.如遇公司既定行銷活動或展覽須配合調休假 【加分項目】 1.能熟練操作Canva、Meta廣告後台、Google Ads等行銷工具 2.具社群經營經驗或影片拍攝剪輯能力

工作內容： *負責市場分析, 品牌/行銷傳播策略規劃 *利用 AI 語意分析工具或自動化工作流，在數萬筆社群討論、競品廣告文案中，快速解構出市場痛點與「消費者洞察（Consumer Insight） *運用 AI 進行預測性建模，幫助品牌評估可行性 *協助企劃案撰寫。 具備條件： *運用大型語言模型（LLM）進行文本分析、結構化提示詞建構、質化與量化數據的轉化能力。 *有廣告, 媒體或數位代理商 (負責業務, 市調, 創意等) 或負責過 planning 相關工作更佳 *好奇心強, 邏輯優, 表達能力好 *具提案能力 作品集請附上最能代表行銷與AI/數據應用的實際案例

【職務介紹】 我們正在招募具備經營/財務分析專業知識與經驗的優秀人才。此職位將負責提供關鍵的分析數據，協助優化和改善財務報表、跨部門協作與專案推動，在這個角色中，你將不僅僅是數字的管理者，更是協助集團決策、提升財務透明度的關鍵夥伴！ 我們期待找到具有創新思維和實務經驗的專業人才，能夠在快速變化的環境中靈活應對挑戰，為公司做出貢獻。 【工作內容】 ● 優化財務展現：覆核子公司財務報表，提供專業洞見，確保全球帳務品質與一致性。 ● 提供關鍵分析數據：產出集團 SBU 管理報表，為經營團隊提供決策基礎與策略分析。 ● 預算與預測管理： 協助追蹤子公司預算與預測執行情況，確保資源運用最大化。 ● 協作與影響力： 定期與子公司財務團隊交流，共同制定優化方案，提升集團整體效率。 ● 專案與策略： 主導多元專案，參與年度財務會議規劃，成為集團決策的重要參謀。 【成為這個團隊的一員，你有機會】 ● 深入了解國際集團運作模式，成為財務領域的多面專才。 ● 擁有多元專案的實作機會，快速累積高階管理經驗。 ● 與專業團隊並肩合作，在挑戰中持續學習與成長。 *** 立即投遞履歷，探索你的未來！*** 在我們的支持下，你將不僅是財務專業人士，更是推動企業進步的關鍵力量！

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.

參與國家調查資料分析暨品管團隊之工作，工作項目依背景經歷做適當之安排，項目包含：資料統計分析，資料整理、檢誤、建檔與歸檔管理，成果報告製作或論文撰寫，及其他資料相關工作與交辦事宜。

1.市場風險管理系統架構及管理流程之持續檢視/強化 2.各項外部規範限額控管系統平台規劃及後續建置管理: 配合相關規範要求所建置控管平台。 3.規劃新種金融商品管控流程: 針對交易限額、交易評價、交易系統及監控管理報表、資本計提等，參與前中後台新產品專案討論。 4.規劃建置市場風險資料庫:建置支持數位化、自動化、整合化市場風險的資料庫。 1. Continuously review and enhance the architecture and management processes of market risk management systems. 2. Plan, implement, and manage system platforms for controlling external regulatory limits, ensuring compliance with relevant regulatory requirements. 3. Design control frameworks for new financial products, covering transaction limits, valuation methodologies, trading systems, monitoring and management reports, and capital requirements; participate in front , middle , and back office discussions for new product initiatives. 4. Plan and build a market risk data warehouse to support digitalized, automated, and integrated market risk management.

Job Description: To strategize and to extract information from extensive logistics-related data in order to uncover valuable and practical insights to assist the clients in making informed business decisions. Main Responsibilities 1. Data Collection and Cleansing: Consolidate, organize, and review large volumes of logistics-related data, ensuring data integrity and accuracy. 2. Deep Dive Analysis: Utilize data analysis tools (including but not limited to Excel, Power BI, VBA, Python) to conduct in-depth analysis of warehouse and transport logistics operations. 3. Report Generation: Create clear and accurate data reports and build self-service tools to cross functional stakeholders 4. Predictive Analysis: Use data models for predictive analysis to identify potential issues in advance, such as supply chain delays or inventory shortages.

Responsibilities: • Design, develop, and maintain full-stack web applications and internal systems. • Develop backend services and APIs to support data processing, analytics, and business workflows. • Implement frontend interfaces to visualize data, manage workflows, and improve user experience. • Build and maintain data processing pipelines for data ingestion, transformation, and storage. • Integrate systems with databases, data sources, and external services. • Ensure system reliability, performance, security, and scalability. • Collaborate with data, AI, and business teams to translate requirements into technical solutions. • Participate in system optimization, refactoring, and ongoing maintenance. Requirements： • Proficiency in backend development using Python, JavaScript, C# or similar server-side languages. • Experience with frontend development frameworks (e.g. React, Vue, or similar). • Solid experience with SQL and relational databases. • Understanding of data processing workflows and system integration. • Familiarity with APIs and system architecture design. • Ability to work across frontend, backend, and data layers. • Strong problem-solving skills and attention to detail. Plus (Nice to Have): • Experience with cloud platforms, containerization, or CI/CD pipelines. • Experience integrating data pipelines or analytics systems. • Familiarity with Linux environments or system operations. • Experience working in data-driven or enterprise system environments. • Exposure to AI or data analytics projects is a plus.