轉職熱搜工作

1. 數據之處理與分析。 2. 協助風險模型之開發與管理，執行風險模型之維護與驗證。 3. 辦理銀行業資本計提相關作業。 4. 辦理資產減損之評估與計算。

1.雲端策略藍圖架構設計與落地實施: (1)設計銀行雲端基礎架構，包括計算、存儲、網路、數據平台等核心部分。 (2)規劃並部署微服務架構、容器技術（如Kubernetes）、以及無伺服器架構（Serverless）。 (3)設計支持銀行業務系統的高可用性（HA）、災難復原（DR）及自動擴展方案。 2.雲端安全與合規: (1)制定並實施雲端安全策略，確保資料隱私及應用合規性。 (2)引入多層次的安全防護措施（如IAM、加密、WAF、防火牆）。 (3)確保架構符合金融監管機構的合規要求（如ISO 27001、GDPR、本地法規）。

1、負責化學品檢驗分析作業。 2、負責化學品QC異常檢測。 3、數據分析及Keyin作業。 4、實驗室儀器校正與保養。 5、實驗室化學品管理及藥品調配。 6、Sample取樣。 7、主管交辦事務處理。 【備註】此職缺為常日班。

【職務概述】 我們正在尋找具前瞻視野與創新精神的工程領導者，加入生成式 AI 應用平台團隊，打造企業級 GenAI 平台，協助內部團隊快速開發 AI 應用與智能代理，推動數位轉型。您將領導團隊建構關鍵能力，包括 RAG 框架、多代理分析平台與 HyperAutomation 模組，並推進多代理協作、模型路由、LLMOps 標準化與負責任 AI 治理。 【主要職責】 策略與領導：帶領跨領域團隊，制定技術藍圖與 KPI，導入 RAG 2.0、知識圖譜、AI Agent 協作等技術。 平台研發：設計與維運 RAG 框架、多模態分析 Agent、AI 自動化模組，導入 MCP、LangGraph 等前沿技術，強化平台效能與治理。 利害關係人協作：作為技術策略夥伴，協助事業單位導入 GenAI，與資料、業務、安全團隊共創 AI 解決方案，推動開發者生態與負責任 AI 架構。

1.資訊安全管理系統及ISO 27001管理制度的規劃、執行、監控與持續改善 2.資安規劃與管理企業防護系統、網路安全架構分析與設計 3.規劃及執行資安稽核與風險評估 4.資安合規管理及客戶稽核事項追蹤 5.威脅情資管理與資安事件數據分析，建構資安戰情室

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=15453&source=1111 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 highly skilled and experienced Senior Data Analyst to join our dynamic team. This role is pivotal in transforming how our organization utilizes data in the Compensation and Benefits domain. The ideal candidate will have a deep understanding of global data analysis and a proven track record of delivering data-driven insights that inform strategic decision-making. You will work closely with cross-functional teams to understand their data needs and provide innovative solutions that drive efficiency and enhance data integrity. Responsibilities: 1. Gather and meticulously analyze global data from diverse sources and systems related to Compensation and Benefits. 2. Partner with cross-functional teams to comprehend data requirements and deliver tailored solutions. 3. Design and craft interactive dashboards and comprehensive reports utilizing Tableau and other advanced tools and technologies. 4. Identify and propose process enhancements to optimize data collection and analysis workflows. 5. Establish and uphold data quality standards, ensuring the highest level of data integrity. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表，此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=536&source=1111 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. Role: 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: 1. Perform IT system architecture design, new technology research, and provide recommendation. 2. Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.) 3. Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues 4. DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

1.跨國電商運營 2.自有品牌經營規劃 3.電商平台數據分析與建議 4.熟悉電商平台及廣告管理 5.檔期及商品相關活動策劃與執行 6.跨部門協作溝通 7.競品調查與分析 8.其他主管交辦事項

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.