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Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment.

【用數據，讓產品更聰明】在 CMoney，我們相信「數據」不只是報表，而是推動產品進化的力量。CMoney 的產品橫跨投資、財經、理財與生活服務，擁有上千萬名活躍用戶。我們希望透過數據，讓每一項產品更貼近使用者，並協助團隊做出更精準的決策。作為 CMoney 的 數據應用分析師（Data Application Analyst），你不只是產出報表，而是用數據看見問題、設計解法、驅動產品成長。【你將一起實現的事】1. 與產品、行銷、營運團隊合作，定義數據需求並提出分析建議。2. 建立儀表板與分析工具（Tableau、Excel、Google Sheet），協助團隊用數據決策。3. 實作數據自動化流程（使用 Python 或 SQL），提升產品團隊的分析效率。4. 深入特定主題（如產品使用情境、轉換行為、留存分析），用數據發現影響使用者的關鍵行為。在這裡，你不是交付報表的人，而是讓團隊「用對數據」的人。【你會獲得的成長】1. 實戰養成：完整參與 App 營運決策過程（產品、行銷、客服），親身體驗數據的實際影響力。2. 全鏈理解：從資料產生、清理、分析到決策應用，掌握數據從原始到洞察的完整流程。3. 跨領域成長：與不同專案團隊合作，培養產品思維、商業敏感度與溝通力。【我們希望你是】1. 你不只是擅長分析，更渴望用數據讓產品變得更好。2. 熟悉常用數據分析工具（Excel、Tableau、Google Sheet）3. 具備程式化處理資料的能力（Python、SQL）4. 能將資料轉化為有洞察力的分析，並提出可執行的建議5. 樂於溝通與協作，願意親手實作並挑戰未知【關於我們】CMoney 的使命是打造更好的工具，幫助每個人做好人生投資。我們的產品被超過 400 家金融機構與上千萬名使用者信任，包括：台灣最大股票社群【股市爆料同學會】最多人使用的投資分析工具【籌碼K線】、【艾蜜莉定存股】上百款數據驅動 App，如【發票載具】、【簡單記帳】等。更多資訊 : https://cmy.tw/00BWhP【我們的文化】▲ 強調身心靈一致：有想法就有機會實現。▲ 鼓勵自我超越：從試錯中找到更好的方法。▲ 相信貢獻價值：每個人都能讓團隊變得更好。【邀請你加入】如果你希望讓數據真正被應用，想看見自己的分析結果推動產品成長 ——歡迎加入 CMoney，一起打造能改變使用者行為的產品。

燃燒你的數據熱情！我們是一群狂愛數據的工作者，致力於應用尖端技術，提供最有效的商業解決方案，發揮數據影響力、讓保險變得更聰明。 ChatGPT說，加入產險數據部你可以… 挑戰頂尖的數據技術：追求卓越、擁抱尖端科技，讓你的技能得到充分發揮！ 揭開數據的神秘面紗：參與風險評估、客戶行為分析等多元專案，發現數據背後的驚奇！ 與頂尖人才同行：與業界頂尖的數據科學家、分析師與工程師共事，學到最實用的技能！ 立即投入數據的海洋，開啟你的冒險之旅！👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024

【團隊介紹】 我們不只是一群熱愛玩數據、玩技術的工作者，更是致力於將數據的價值、AI的潛力落實到保險領域的推動者。 在這裡，我們探索各式新技術的應用場景，打造高效解決方案 在這裡，我們應用數據專長助攻公司成長，發揮數據影響力 在這裡，我們不分你我、追求團隊共榮，重視團隊合作 數位轉型不是口號，數據應用不是空談 加入我們！一起用數據翻轉商業價值，「讓保險變得更聰明」！👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. We are seeking a talented and innovative Data Scientist to join our strategic HR team. This role is instrumental in driving HR transformation through the application of AI, data analytics, and emerging technologies. The ideal candidate will possess strong AI capabilities using Python, general IT knowledge in databases, systems, and UI/dashboard prototyping; a background in computer science, information management, or a related field. The Data Scientist will function as an HR RD specialist, exploring and implementing advanced tools and methodologies to enhance HR processes and deliver substantial business impact. Responsibilities:1. AI and Data Analytics in HR: (1) Develop and implement AI models and machine learning algorithms using Python to optimize HR processes. Perform advanced data analytics, including handling big data in various formats (e.g., text data using NLP), to generate actionable insights for HR transformation. 2. Research and Development: (1) Investigate and stay current with emerging AI and intelligent tools, assessing their potential applications in the HR domain.(2) Conduct proof of concept (POC) projects to test and validate new technologies and methodologies. 3. Data Handling and Modeling: (1) Manage, pre-process, and analyze large datasets to support HR initiatives.(2) Build and validate predictive models to forecast HR metrics and enhance decision-making processes. 4. Tool Development and Prototyping:(1) Develop and prototype user interfaces and dashboards to visualize data insights and support HR decision-making.(2) Integrate various systems and databases to streamline data flow and accessibility. 5. Collaboration and Innovation: (1) Collaborate with HR and other departments to identify opportunities for AI-driven improvements.(2) Work with cross-functional teams to implement data-driven solutions that enhance employee experience and operational efficiency. 6. Strategic Contribution: (1) Provide data-driven insights and recommendations to support the strategic planning process.(2) Contribute to the development and execution of HR strategies through robust data analysis and reporting. 7. Technical Expertise: (1) Utilize Python, SQL, and other relevant tools for data analysis, AI model, and automation tool development.(2) Employ visualization tools such as Power BI, Tableau, and web technologies like React or JavaScript for dashboard development. 8. Multi-Tasking and Impact: (1) Manage multiple tasks and projects simultaneously, demonstrating an eagerness to contribute and make a positive impact.(2) Support colleagues in improving daily work processes and strategic planning. 9. Team Player:(1) Work effectively within a team, fostering a collaborative and supportive environment.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

【團隊介紹】 我們不只是一群熱愛玩數據、玩技術的工作者，更是致力於將數據的價值、AI的潛力落實到保險領域的推動者。 在這裡，我們探索各式新技術的應用場景，打造高效解決方案 在這裡，我們應用數據專長助攻公司成長，發揮數據影響力 在這裡，我們不分你我、追求團隊共榮，重視團隊合作 數位轉型不是口號，數據應用不是空談 加入我們！一起用數據翻轉商業價值，「讓保險變得更聰明」！【為什麼要加入我們】1. 加入國泰集團數數發一員，擁有多元的學習資源，跨公司數位數據資源豐沛，擁有堅強後盾、轉型推廣不孤單2. 充分剖析業務痛點並探索解決方案，在這充斥挑戰性的工作中，數據分析一點都不無聊3. 我們鼓勵團隊擁抱挑戰、突破框架、追求成長、主動分享，跳脫傳統思維、打造高成長團隊👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

COMMEET (https://commeet.co) 擴大徵才，歡迎有熱情之新夥伴加入我們的行列[工作內容]1 整理、標記數據，以確保數據的準確性與可靠性。 2 訓練OCR模型，並進行模型效能評估。3 建立/維護/優化資料處理流程與架構(data pipeline)。4 從業人員恪守客戶個資保護敏感度及尊重客戶資料隱密性。5 其它主管交辦事項。

【投遞須知】請意欲參與此實習的夥伴，請檢附相關開發資訊，如GIT HUB等，以利技術性審核，感謝!這是一份要動起來的實習旅程，會面對硬實力與軟實力的複合型挑戰!"近期主題偏向NLP、CV之產品化開發。*持續且頻繁使用超過1年的Python經驗，具良好coding style*複合型的應用開發，包括AI技術(NLP/CV/BIG DATA )為主軸、後端產品化(DATABASE/API)為輔【工作內容】1. 負責AI軟體與系統化之資料蒐集、設計、程式撰寫、測試、優化與佈署等2. 依照專案需求建立AI模組並配合軟硬體整合開發3. 針對現有產品、模型進行優化、調參 4. AI模型系統化之環境與後端API、資料庫串接製作5. 文件化與基礎QAQC【加分項目】● 資訊工程科系尤佳，具備自主開發的能力● 具備物件偵測(Object Detection)相關開發經驗● 產品化面:熟悉My SQL資料庫運用/NoSQL資料庫運用/Linux作業系統開發/Docker● AI模型面:熟悉深度學習架構、演算法技術與模型加速技術、NLP● 熱愛軟體開發，積極有耐心【實習時程】● 以長期穩定實體實習為主，時程至少6個月含以上，一週至少能配合3天。