整合不同平台運動資料庫，利用整合性資料庫建構運動資料查詢平台（Web, API, DB），並維護系統及測試，主要內容包含 1. 規劃資料庫欄位、格式及功能 2. 以 API 連結資料庫 3. 介接重要賽會競賽成績 4. 建立運動資料查詢平台 5. 規劃各平台間雙向同步及資料驗證之作業規範 薪資：51880元 聘期：面議

1. 具有製造業鼎新ERP規劃導入、ERP系統維護、報表憑證修改 2. 整合鼎新ERP與其他平台作業系統 3. 鼎新ERP系統問題排除/維護/優化 4. 可獨立與系統商溝通系統流程優化 5. 各部門ERP系統需求分析及解決方案評估、提案 6.對員工進行ERP系統培訓

【職務內容】 1. 機房維護：負責公司機房的日常維護和管理，確保設備正常運行 2. 使用者軟硬體設備的服務與維護：提供公司內部使用者的軟硬體設備支援和維護服務 3. 網通設備及網路管理：管理和維護公司網路及網通設備，確保網路暢通無阻 4. VMware vSphere 管理：具備VMware vSphere 管理經驗者優先 5. 微軟 Microsoft 365 管理：具備微軟 Microsoft 365 管理經驗者優先 6. 邏輯思考與問題解決：擅長邏輯思考、問題分析和解決能力 7. 團隊精神與責任感：具備團隊精神、責任感，熱愛學習，勇於接受新事物 【必要條件】 1. 擅長邏輯思考、問題分析和解決能力 2. 具備團隊精神、責任感、熱愛學習、勇於接受新事物 「用熱情與創新賦能全球夥伴，成就永續塑造未來」 我們熱情歡迎志同道合人才加入鉅鋼 ，歡迎至YouTube搜尋「鉅鋼機械KINGSTEEL」或至鉅鋼機械官方網站瀏覽，讓您更快掌握鉅鋼動態!!!

1.PCB Layout 2.類比電路設計 3.數位電路設計 4.表面貼焊技術(SMT)

1.Machine learning development on industrial robot applications. 2.Industrial robot motion software development. 3.Robot controller software development

1.數據治理實施，包括資料模型、資料定義、元數據、資料品質等 2.建構數據工作流(Data Pipeline)、導入數據工程自動化和敏捷實踐(DataOps) 3.熟悉數據架構規劃、數據源開發、數據蒐集與處理、數據探勘與加值 4.數據建模 : 依主題挑選適當模型方法與參數處理進行多類型建模與冠軍模型挑選，與商業分析師合作進行統計分析模型及最佳化的研究與開發。 5.視覺化應用 : 善用視覺化工具(PowerBI)溝通特徵值與模型分析結果。 6.具備跨單位的大型專案管理實務 7.具備良善的溝通技巧及專案團隊協作能力

＜About the job＞ As the Senior Data Engineer or Data Architect, 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＞ *Type 1：Senior Data Engineer Responsible for acquiring data using API, Web scraping, or other data accessing protocol/scripting and developing the ETL data pipelines, and the data aggregation systems. Using software development experience to design and build high-performance automated systems. As below: 1. Data Processing (1)Data ETL(Extracting/Transforming/Loading) process engineering and querying from relational data management(such as SQL Script). (2)Building systematic data quality processes and checks to ensure data quality and accuracy. (3)Solid coding experience in Python or Java. 2. Data Pipeline Development (1)Develops a data integration process, including creating scalable data pipelines and building out data services/data APIs. (2)Create a data processing automation and monitoring mechanism by optimizing the data pipeline process. (3)Experience with dataflow/workflow/management tools, such as Apache Nifi, Apache Airflow, Azkaban, etc., is preferred. 3. Data Crawling (1)Build scalable tools that automate web crawling, scraping, and data aggregation from various web pages using frameworks such as Scrapy. (2)Accessing data from REST APIs, particularly in parsing data in disparate formats such as JSON and XML, and developing automated engineering. (3) (Nice to Have) Knowledge of server-based front-end/UI technologies, including Vue/React and HTML/CSS, is preferred. *Type 2：Data Architect Responsible for designing, implementing, and maintaining scalable and reusable system architectures/data architectures for complex data structures and large data in data science and AI projects. As below: 1. Data Schema Design (1)Collaborate with the team to design DB/Table Schema and Data Schema. (2)Consolidate the requirements and use data engineering tech to design and implement a robust Data Mart. (3)Experience handling all kinds of structured/semi-structured/unstructured data and streaming data is preferred. (4)Hands-on experience with Dimensional Data Modeling(Column-based data warehouse) or NoSQL Schema design. 2. Data Platform Architecture (1)Design and build data infrastructure/platform components to support complex data pipelines ingesting various data from multiple internal and external data sources and processing. (2)Familiar with Big Data frameworks and processing technologies, ex: Hadoop, Apache Spark, NoSQL ...etc. (3)Familiar with AZURE or AWS cloud data services(hands-on experience with cloud infrastructure will be a plus) (4)Familiarity with the Linux OS environment, the Shell Scripting, and infrastructure knowledge. (5)(Nice to Have)Experience with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s). (Nice to Have).

1.DSP韌體程式設計(數位電源開發) 2.新產品韌體評估及研發 3.撰寫技術文件 4.電源相關產品維護。

1.半導體軟、硬體研發設計 2.半導體軟、硬體測試 3.半導體軟硬體互動設計-嵌入式應用系統應用 4.半導體科技專案開發規劃 5.整合系統設計 應徵者須先通過內部的初期審核，然後由公司推薦參加專業操作的培訓課程。

熟悉Angular 懂JAVA+SQL+ORACLE

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。

＊＊＊目前全面採視訊面試＊＊＊ 1.熟悉php8以上語言，能熟練構建Web平臺項目 2.精通MySQL，具備架構和優化的經驗和技巧 3.負責各項資訊專案或需求功能開發，包括系統設計、程式開發、專案維護等 4.具有JavaScript、HTML5、CSS3、jQuery、XML、RWD等基本Web開發技術，熟悉前後端分離，有相關介面設計及開發經驗 5.API接口與後端管理系統開發、維護管理 6.AI技術串接及開發 7.具備良好的程式設計習慣及較強的文檔編寫能力 8.有良好的溝通、協調能力和學習能力，對工作積極有抗壓性 9.需攜帶作品面試 如果能有自信迎接這樣的挑戰！ ！請從Google搜尋「網頁設計蘋果優化」進入官網後到人才專區預約我們要會談的時間並將履歷投於1111 ＊＊＊目前全面採視訊面試＊＊＊

敝司主要產品為物聯網相關應用。產品均為自製。 工作內容主要為協助電子電路開發。產品功能驗證。協助產品生產，QC 標準製定。建立對應BOM，尋找解決方案，能夠獨立解決電路問題，有設計過相關電子產品經驗者尤佳。

1. 熟悉 Node.js, Vue.js, Django 程式開發框架 2. 熟SQL 資料庫程式 3. 系統需求分析與操作說明撰寫 4.上級交辦事項

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.

加入SUMIFU，運用大數據創新香蕉產業，開創全球市場新機遇！ 我們正在尋找充滿熱情和創新思維的大數據分析工程師，與我們一起深入分析市場趨勢，優化供應鏈管理，並探索未來的商業機會。此職位不僅需要出色的數據分析技能，還需具備國際視野，能在全球舞台上發揮影響力。 我們希望您具備： 1. 精湛的Python開發能力：熟練運用Python進行數據處理、分析和模型建置。 2. 資料庫管理專業知識：熟悉SQL、ORACLE等資料庫系統，能高效管理和分析大規模數據。 3. 統計學基礎：具備扎實的統計學知識，能應用於各種數據分析和預測模型。 4. 實務經驗：具備Data Mining模型建置的實務經驗，能有效發掘數據中的商業價值。 5. 資料分析與報表設計能力：能設計和製作高效能的資料分析報表，支持決策制定。 6. 全球拓展機會：具備出差意願和能力（地點包括菲律賓、日本、韓國、新加坡），探索和拓展全球市場。 7. 英文溝通能力：能以英語進行專業溝通，與國際團隊無縫合作。 加分條件： 曾有海外公司軟體系統支援或導入經驗者優先考慮！ 加入SUMIFU，您將有機會在一個充滿活力的全球市場中發揮影響力，讓您的數據分析能力和國際視野為我們的成長提供有力支援。期待您的加入，與我們一起創造更健康、更可持續的未來！ 加入SUMIFU，成為改變未來的一份子！

．從事相關系統程式開發、管理與維護 ．負責軟體的分析、設計、程式撰寫與維護，並進行軟體的測試與修改，以及控管 軟體設計進度 ．協助資訊專業人員進行電腦、標準軟體以及週邊設備之安裝 ．負責電腦設備維護 ．負責機房作業管理、電腦使用者管理 ．處理電腦相關產品維修、零件及模組更換、升級、保養及故障排除 ．電腦系統運作的維護及緊急狀況之排除

1.專案計畫書撰寫。 2.專案系統整合設計規劃。 3.標案文件製作。 4.市場分析評估。 5.視專案狀況需外地出差。

1.半導體軟、硬體研發設計 2.半導體軟、硬體測試 3.半導體軟硬體互動設計-嵌入式應用系統應用 4.半導體科技專案開發規劃 5.整合系統設計 應徵者須先通過內部的初期審核，然後由公司推薦參加專業操作的培訓課程。 歡迎應屆畢業生加入

1.負責現行系統的開發維護工作 2.配合專案需求，進行系統的開發與設計工作 3.配合測試人員對發現的問題進行分析及修復 4.與團隊合作，並主動發現解決問題 5.專案支援，如教育訓練、技術文件撰寫 6.執行主管交辦事項

1.ASP.NET專案分析、測試、開發，具Big Data經驗。 2.C#、VB.net專業開發及維護

We are looking for talents with superior analytical thinking to join our Strategic Marketing and Planning Department in Taipei worldwide headquarter. ASE Technology Holding (TAIEX: 3711, NYSE: ASX) is the world’s largest provider of semiconductor manufacturing services in IC assembly and test, and we have extended our presence in electronic manufacturing services through our subsidiary, USI (SSE: 601231) . The position will have the great fast-track involvement in group strategic planning / business development and exposure to global technology dynamics and leading electronic and semiconductor companies. Responsibilities: - Conduct market analysis on technology, electronics and semiconductor industry to help our group identify business opportunities - Perform analysis for group business performance and deliver insights to senior management - Evaluate potential strategic investment or M&A targets and partnership opportunities with execution plans - Utilize effective communication and problem-solving skills to work closely with different departments within ASE Group to ensure company growth - Collaborate with sales, engineering and manufacturing teams to assist strategic decisions of senior management with our market intelligence Qualifications: - BS or MS of Electrical Engineering or equivalent - Strong analytical and problem-solving abilities - Good written and verbal communication skills - Native proficiency in Chinese/fluent in English speaking and writing

1.專案系統需求訪談/調研，釐清專案目的及範圍、規格、需求定義。 2.訂定系統功能規格，並與使用者及其主管確認。 3.專案時程規劃、資源評估、管理並推動專案各階段中的活動。 4.跨部門溝通協作：與需求單位確保功能有達到目標與需求。 5.協調開發、測試人員，確保依計劃開發及發布。 6.風險/例外控管，並規劃備案或解決方式。 7.其他交辦事項 註：薪資包含經常性薪資加上非經常性薪資給予之薪資區間。 註：薪資待遇依照學經歷並考量工作能力給薪。

1.資訊系統標案管理。 2.中心電腦系統（雲端）維護業務。 3.資安工作（ISO 27001）配合辦理事項。 5.其他主管交辦事項。

＜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)