轉職熱搜工作

1. 專案規劃、運作、控管、領導及管理。 2. 作為客戶與公司內部溝通的橋樑。 3. 公司內部資源整合、問題溝通。 4. 專案報價、成本分析及成功率。 5. 營業額與產品獲利目標之設定及達成。 6. 廠內生產成本及庫存管控。 7. 廠內產能協調，設定專案生產計劃排配與管理。

1. 醫療儀器設備採購前規格評估、交貨查驗及驗收、保養、校正及維修、零件議價、核銷、保養維護合約執行作業 2. 醫療儀器設備效能檢測與風險評估分析 3. 蒐集/通報醫療儀器不良反應資訊 4. 醫療儀器汰舊換新評估作業 5. 醫療儀器報廢鑑定 6. 年度工作計畫規劃及執行 7. 教育訓練規劃及執行 8. 醫療儀器設備使用環境規劃 ※薪資內容 1. 大學畢，月薪36,000元/月起，下列視個人資歷不同核給。 2. 學歷津貼：具相關科系碩士(含)以上，依學歷核給1,000~5,000元/月。 3. 年資加給：每年依工作評核結果核給。 ※福利措施： 1. 在職進修訓練：每年補助經費15,000元/人。 2. 學位進修：補助學位進修學費(碩士6萬/年、博士8萬/年)。 3. 身心健康關懷： (1) 提供工作表現優良資深員工高階健檢，每人每五年二名額(15,000元/名)。 (2) 員工健康促進活動辦理、與鄰近運動中心特約優惠合作。 (3) 員工協助方案(EAP)、心靈關懷與紓壓課程辦理、與專業心理諮商機構合作提供員工及眷屬免費心理諮商服務6次/年。 4. 員工宿舍優惠(800元/月，含水電費)、院外特約停車場(汽車半價、機車免費)。 5. 其他：三節獎金、生日禮金、托育津貼、公/學會補助、福委會活動、家庭日活動、員工旅遊、社團補助、單位內員工活動補助。

**團隊介紹：** 作為鴻海數位健康團隊的一員，您將加入一個專注於硬軟整合並運用人工智能技術於醫療健康領域的先鋒團隊。我們致力於開發創新的AI解決方案，以改善患者護理、提高醫療服務效率，並協助醫療專業人員作出更精確的診斷和治療決策。 工作內容： 1.歐美 AI 醫療技術夥伴對接專案(客戶)需求/技術規格總窗口 2.主導 AI 專案的啟動、規劃、執行與結案流程，控管時程、資源分配、風險管理及品質驗收 3.擬定專案工作分解結構（WBS）、甘特圖與階段性里程碑，明確追蹤進度與交付成果 4.撰寫並維護專案文件，如需求規格書（SRS）、會議紀錄、測試報告及客戶驗收文件 5.協調 API 串接、資料交換流程與系統整合事宜，規劃使用者測試（UAT）與最終驗收作業 6.制定上線部署計畫，並協助使用者教育訓練與維運交接，確保導入順利落地 7.理解並落實醫療法規與風險管理流程，確保專案符合 TFDA、ISO 14971、ISO 13485 等相關標準 8.配合資安與合規單位進行產品審查、稽核準備與改善追蹤，強化醫療產品合法性與信賴度

1. 預測銷售量，並擬定生產計畫。 2. 負責產銷協調。 3. 規劃生產排程，並評估人力、機器設備、零件原物料之需求。 4. 考量工人能力、機器限制、生產計畫和生產進度等因素，進行適當之工作分配。 5. 提出有關操作、原料分配、設備安排等相關的修正建議，以增加生產量或提升品質。 6. 提出有關現存的品質或生產標準方面的修改建議，以達到最理想的產品品質。 7. 整理分析生產記錄報告，並對進度加以催查及管制。

1.年資：三年以上 2.工作經驗：戶外防水防塵產品, 機櫃的機構設計, 基地台無線通訊產品, 伺服器, 交換機 3.產業：通訊機械器材相關業, 無線通訊設備相關行業,其他電子零組件相關業, 4.外語能力：英文

網路通訊產品管理 1)專案進度管理與協調溝通 2)問題解決與執行紀律 3)成本控制 4)新產品試產及量產導入，新產品開發進度跟進及物料REVIEW 5)定期向客戶以及單位更新新產品ECN狀況及導入狀態追踪 6)其他如客戶需求排配，出貨安排，廠內庫存管控，客訴處理 7)2nd Source Plan Cost Reduction 8)Material Cost Reduction

1.客戶需求預測、提供報價、訂單處理 2.跟蹤進度、完成交貨任務 3.接待來訪客戶 4.跨部門協調完成產品試產出貨 5.CUP/ECN導入、BOM表維護、報價及關務備案

1. 新專案規劃、執行、掌控、成本控制及資源協調。 2. 跨部門溝通協調、 問題追蹤及解決 3. 專案開發會議召集、記錄及進度跟催 4. 客戶溝通協調專案進度 5. 驗證問題追蹤及解決方案時程控管 6. 產品品質問題協調及改善

＜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.