AI Project Manager/System Analyst (Data Science & AI Team)

＜About the job＞  

As the AI Software Engineer, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). 

＜Job Description＞ 

Responsible for deploying the AI/Data Science collaborative framework and building the AI model and data operating infrastructure. Using software development experience to design and develop high-performance automated systems for AI development and operation. As below: 

．Collaborating with Data Scientist/AI ML Engineer team, other software system development teams, and the infrastructure team. 

．Ability to utilize various tools/methods to build the MLOps/DataOps/DevOps and deploy and manage the AI Development framework and infrastructure 

．Developing infrastructures for data transformation and ingestion and automating important infrastructure to process data 

．Deploy AI models to the Inference server and optimize the performance of the model serving operation reliably and efficiently. 

．Assist the Data Scientist/AI ML Engineer team in converting the AI models into APIs to serve other systems or integrate with other systems. 

＜Skill Sets＞ 

(1)Excellent problem-solving and troubleshooting skills. 

(2)Genuine passion for learning new technologies and open-source projects. 

(3)Familiarity with Python and Java (python is a must) 

(4)Good understanding of the Linux OS environment, the Shell Scripting, and infrastructure/networking knowledge.  

(5)Experience with GitLab CI/CD 

(Nice to have but not necessary)  

(1)Experience with MLops and Model Serving tools. 

(2)Experience in GPU programming and performance tuning 

(3)Being familiar with AZURE (or AWS) cloud infrastructure will be a plus 

(4)Familiar with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s)

• Lead New Product Introduction (NPI) or sustaining project management 

• Lead cross-functional team to generate RFQ responses for customers 

• Create project plans, development schedules, and master build plans 

• Oversee sample builds, including PCBA, mechanical parts, and system-level components 

• Driving materials, tooling, and factory capacity to meet customer demand 

• Manage customer relationships

* 負責雲端Server伺服器的相關工作 

1. 協助DPM文件彙整。 

2. 系統流程申請與追蹤。 

3. 物料收發與相關流程。 

4. 協助支援專案任務。 

5. 其他主管交辦事項。 

• 計畫介紹：  

• 實習期間：即日起-2026/6 (長期實習-一學期) 

• 職缺內容: 實習生 (在學學生) 

• 實習薪資: 時薪(一週3天以上)，優於基本工資

1. 制定自動化設備軟件應用改進完善計畫 

2. 軟件應用工作整體把控 

3. 軟件功能測試、現場設備重大問題調試等技術支持 

4. 專案前期參與軟件需求分析工作 

5. 軟件二次開發應用

1. 營運規劃與定價 

2. 負責銷售報價並管控產品線毛利 

3. 產品營銷與售後支持 

4. 根據架構師及業務提供之銷售規格,設計符合需求之服務產品

1. Project management for products 

2. Lead project team to deliver the product in time with good quality and in scope 

3. Work as the coordinator among engineering, manufacturing and customers

1.伺服器專案規畫、推展、問題解決 

2.伺服器專案時程/流程管控 

3.伺服器專案研發資源/物料/成本管控 

4.客戶/研發單位/工廠單位間溝通與整合 

5.協助各階段新產品導入(NPI)及量產生產端協調整合

1. MP products related project management 

2. Material and device demand plan and tracking 

3. NRE sevaluation and charing 

4. Overall validation schedule management 

5. EC control for customer

1. 售前支援，解決方案Proposal規劃，協助客戶專案導入。 

2. 雲端服務相關技術學習研究，提供客戶技術顧問諮詢。 

3. 雲服務產品架構規劃、可行性分析及技術支援。。

【通訊產品開發專案管理】 

1.通訊產品專案規劃與進度跟催 

2.專案預算規劃及執行採購流程 

3.負責出貨管理及客戶管理

【通訊產品開發專案管理】 

1.通訊產品專案規劃與進度跟催 

2.專案預算規劃及執行採購流程 

3.負責出貨管理及客戶管理

1. 參與系統開發專案規劃討論與技術分析，並可獨立完成網頁開發及維護。 

2. 與開發園隊協作，依照文件串接 RESTful API, 並能有效處理資料。 

3. 規劃易維護、可擴展的元件及模組，提升開發效率。 

4. 關注 Web 技術發展，學習並試導入新技術。 

5. 具備前端實務開發經驗至少2年。 

6. 獨立解決問題的能力，且熟悉各瀏覽器及裝置的開發偵錯工具。 

7. 負責任與積極的態度，對工作及所產出的程式進行品質管理，並随時考慮優化可能。

1. 雲服務、資安及智慧應用市場訊息收集、競爭產品和未來趨勢分析、客戶開發方向研究。 

2. 產品開發專案之規劃、執行、設計及發展進度掌控、成本控制。 

3. 制定產品的行銷推廣方案，協調市場、業務、運營等團隊確立產品方案， 達成銷售目標。

【工作職責】 

•需求分析與評估： 透過諮詢與觀察，確認商業需求，評估現有 IT 架構並提出改善建議。 

•系統開發與配置： 開發、配置客製化 SAP 解決方案，確保系統整合順暢。 

•程式撰寫： 撰寫腳本與程式，建立友善的使用者介面並優化功能。 

•支援與優化： 排除故障以優化效能，並提供系統支援與終端使用者教育訓練。 

•文件與合規： 執行嚴謹的 SAP 流程文件記錄，確保符合產業規範，並持續掌握 SAP 最新技術。 

【Responsibilities】 

•Analysis & Assessment: Determining business needs via consultation and targeted observations; assessing existing IT infrastructure and recommending improvements. 

•Development & Configuration: Developing, configuring, and deploying customized SAP solutions while ensuring smooth system integration. 

•Scripting: Writing scripts and programs to create user-friendly interfaces and enhanced functionalities. 

•Support & Training: Troubleshooting issues to optimize performance, providing SAP system support, and conducting end-user training. 

•Documentation & Compliance: Performing rigorous documentation of SAP processes, presenting progress reports, and ensuring compliance with industry regulations.

1. 客戶系統/物料出貨 及RD測試 物料準備  

2. 每周定期 客戶PJM開會 物料狀況 review 

3. 協助PM完成專案交付之工作 

4 具備英文溝通

協助開發城市數據中台，支援交通、醫療與能源數據的清理與標準化整合。參與城市級數據服務 (DaaS) 平台的功能需求訪談與系統規格書編寫。配合團隊提供平台運維之技術支援，協助處理企業客戶的操作諮詢與異常案件記錄，並學習跨領域數據應用架構。 

Assist in developing city data middle-platforms and support the cleaning and standardization of transport, medical, and energy data. Participate in requirement interviews and documentation for city-level DaaS platforms. Support platform operation maintenance and assist in handling client inquiries and recording exception cases.

【職位優勢】 

•全球一線客戶協作：負責北美 Tier 1 客戶之關鍵產品開發，主導全球資料中心運算節點的研發。 

•尖端硬體開發實務：領導機架式伺服器NPI 專案，累積國際化專案管理與領導RD團隊經驗。 

【工作內容】 

1.端到端專案管理：主導從 RFQ 提案、NPI 開發至量產階段的專案管理。 

2.專案規劃：確立專案範疇、預算編列、樣品需求評估，並運用 MS Project 建立專案時程與 NUDD 風險預判。 

3.領導核心團隊：協調跨部門 Core Team（硬體、軟體、機構、測試、安規、工廠），確保設計開發、打樣測試及認證計畫如期達成。 

4.國際客戶專案聯繫：作為客戶RD團隊之主要溝通窗口，主持專案週會、達成客戶需求並落實 JDM/ODM 合作模式。 

5.風險控管與應變處理：針對專案異常（如：關鍵電子料件缺料、測試異常、生產瓶頸）快速啟動應變機制，引導相關部門進行 Root Cause 分析和解決方案。 

6.管理樣品生產計劃：與工廠PM合作規劃 PCBA、機構件、系統組裝之備料策略與生產製程，確保 NPI 試產與順利銜接量產。 

7.量產後生命週期維護 (Sustaining)：負責規劃和執行替代料驗證、設計變更及量產階段之技術支援。

1. 主導專案生命週期管理，包含範疇、時程、資源與成本的規劃及控制。 

2. 導入並主持敏捷（Agile/Scrum）開發流程，提升團隊交付效率與彈性。 

3. 建立並維護跨職能團隊與外部供應商的溝通渠道，確保資訊透明、協作順暢。 

4. 負責專案風險的持續識別、評估與應對計畫的制定及執行。 

5. 精準追蹤專案進度與關鍵指標，並定期向管理層及利害關係人報告。 

6. 管理產品待辦清單（Backlog）與變更請求，確保專案交付成果符合業務目標。 

7. 負責專案交付物的品質把關與最終驗收工作。

1. Manage multiple software projects, responsible for schedule control, issue management, tracking, update and closure. 

2. Perform risk management to minimize the project risks. 

3. Proactive, closely collaboration and communication with clients & project team members. 

4. Partner with PM and Tech Leaders to understand priorities across initiatives, and manage dependencies between teams. 

5. Meeting with clients in English all the way.

1.專案規劃執行 

2.進度控管與風險評估 

3.溝通協調及整合資源 

4.AI Server智慧工廠與數據中心建置