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【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ 一、採購策略與商品管理 (約 70%)1. 分析市場銷售數據與季節性，發掘潛力商品並擬定相應的採購策略。2. 協助業務經理制定採購計畫，以維持合理的庫存水位。3. 持續追蹤商品銷售表現，計算潛在利潤並提供最佳採購建議。4. 透過價格策略維持並優化商品毛利率。5. 建立與分析銷售報表，辨識衰退品項並挖掘新的成長機會。二、流程優化與專案管理 (約 30%)1. 與跨部門合作，透過數據分析與自動化設計具擴展性與高效率的流程解決方案。2. 運用數據分析工具（Excel、SQL、Python、R 等）找出問題根因並驗證改善方案。3. 能獨立規劃並執行專案，於時程內交付具質量與影響力的成果。4. 善用內部系統工具，提出可行的流程優化建議並推動落地。任職條件1. 具 1–2 年以上相關工作經驗尤佳。2. 熟悉 Excel 基礎公式與功能（如：sum, count, xlookup, pivot, chart, VBA），具良好的數字敏感度；若具備 SQL 語法能力（如：JOIN, 欄位值轉換, 套件應用）及視覺呈現軟體（如：Looker, Tableau, PowerBI）則更佳。3. 具備獨立專案執行能力，能準時完成並交付成果。4. 擅長跨部門協調整合，並具備良好的數據分析與洞察能力。

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

Introduction to the jobCollaborates throughout a defined stakeholder network (usually within same department and covering lower Tier levels such as operational teams, project leads and subject matter experts) to execute business engineering processes and analyze data to identify process improvements. Coordinates the consolidation of data sources/input critical to report creation or management reviews.Focuses on assignments; gets clearly defined tasks from own manager, stakeholders or a senior business engineer in the implementation of business engineering processes, improvement projects or analytics reports. Works under supervision.Managing the health and operational excellence of GOC's dashboards. Handling all the data execution in the background via collaboration with central teams.Role and responsibilitiesResource ManagementSupports calculations related to well-defined quantitative models and trend analysis. Collects and validates information from several input sources (E.g. FTE data, labor hours, Cycle time).Supports the preparation and execution of resource management reviews (e.g. blueprint revisions, norms reviews, Total Annual Plan)Performance ManagementSupports the preparation and execution of performance reviews, ensuring all information is consolidated and available on time. (Example: GOC OST ticket performance.)Supports analysis and calculations of performance metrics using multiple sources and datasets.Business Intelligence Analytics ReportingCreates and visualizes performance/trending/gap analysis/ad hoc reports.Can support stakeholders requests with dashboards/business intelligence solutions (e.g. Excel, Power BI, Spotfire)Process improvements / optimizationAnalyzes data related to performance indicators, identifies trends and bottle necks, and provides insights into opportunities for improvement. Validates data quality with support of experts closer to the processes/sources (e.g. SAP)Process Knowledge ManagementSupports process specialists and experts in documenting and maintaining standards connected to Business Engineering processes (e.g. norms, L5)Creates and maintains work instructions for own scope, and ensures they are available in standard document management tools (e.g. Sharepoint, ARIS).Project Benefits ManagementParticipates in the implementation of improvements by providing analytical support. Works under guidance of project lead. Has limited experience with project management methodologies (E.g. ASML PM Method, SCRUM/Agile, PMI, DMAIC etc.)Supports business case calculations to translate specific metrics into project benefits. Keeps monitoring them throughout time.Continuous Improvement: Lean/Six SigmaSupports lean experts and other stakeholders in combining data analytics with CI tools (E.g. VSM, Daily Management, Hoshin Kanri , Problem Solving tools A3/4C). Has basic knowledge of the fundamental concepts of Lean and Six Sigma (white belt or yellow belt level). Supports problem-solving teams in reviewing and validating process improvements.Business Acumen Business PartneringHas basic understanding of the strategy and priorities of own department. Is aware of all business engineering processes within scope. Has limited practical experience with processes, KPIs, tools and systems within own department and other allocated departments.Communication Stakeholder ManagementKeeps own stakeholders up to date regarding requests and progress.Is aware of different communication channels (e.g. meetings, trainings, workshops, presentations).Contributes and supports in setting up workshops and trainings.Prepares input for presentations at senior levels.Education and experienceUniversity degree in Information technology, Engineering, Industrial Engineering, Operations, Supply Chain Management or Business Administration. Bachelor degree with no/limited experience.Has professional knowledge of theory and practices of operations, data analytics, business management. Able to master coding well.SkillsTechnical Analytical SkillsData Analysis FundamentalsAbility to analyze datasets, identify patterns, and derive insightsUnderstanding of descriptive statistics (mean, median, variance, correlations)SQL (Structured Query Language)Writing basic to intermediate queriesFiltering, joining, grouping, aggregating dataFamiliarity with relational databases (e.g., MySQL, SQL Server, PostgreSQL)SpreadsheetsStrong ExcelFunctions like VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, chartsBasic data cleaning and formattingData Visualization ToolsExperience with BI tools such as:Microsoft Power BITableauAbility to build dashboards and simple reportsProgrammingBasic knowledge of Python or R for data analysisFamiliarity with libraries like Pandas, NumPy, Matplotlib (if using Python)Data Cleaning PreparationUnderstanding how to handle missing values, duplicates, and inconsistent dataBasic knowledge of ETL concepts is a plusIT-Related SkillsUnderstanding of Databases Data StructuresDifferences between relational and non-relational databaseFamiliarity with Cloud or Enterprise Tools (Bonus)Enterprise data platforms or warehousing toolsBasic IT Troubleshooting MindsetUnderstanding how systems connectAbility to investigate issues logicallySoft SkillsCommunication SkillsExplaining data insights in a simple, non-technical wayWriting clear documentation and summariesProblem-SolvingBreaking down business questions into data tasksLogical, systematic thinkingAttention to DetailSpotting inconsistenciesEnsuring data accuracy in reportsTeam CollaborationWorking with cross-functional teams (IT, finance, operations)Willingness to learn from senior analystsOther informationKnowledge of APIs and basic data integrationUnderstanding of basic machine-learning conceptsFamiliarity with ticketing tools (Jira, ServiceNow)This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

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.

Introduction- Support for Material operation in SAP, Daily material order/ return.- Reporting summary and data analysis (ex, SO checking, WH open item checking……etc)- Team building/dinner event arrangement- support technical data summary- support customer badging process and laptop processYour assignmentsupport team events in daily operation.Your profileKnown for basic excel and PowerPointGood English communicationThis position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

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.The Infrastructure and Platform Engineering Department (IPED) in TSMC's Intelligent Manufacturing Center (IMC) is dedicated to enhancing system stability and developer productivity. As TSMC's production scale continues to expand, the core focus is on smart manufacturing through deep system integration to maintain high yield and efficiency. Within this team, you will assist in implementing new cloud architectures (K8S) and other related cloud-native technologies to achieve the goals of DevOps. General job responsibilities for this job position are: Develop and maintain cloud-native related systems based on the K8S architecture.Tune system configurations based on metrics and user feedback.Work closely with internal development teams and seek new tools that can enhance productivity.Conduct POC (proof of concept) and assist internal development teams with implementation.

ContextWorks either in Customer Support or in BL Apps (AE, Brion or HMI) and can be located in the field as well as at HQ working on sustaining, NPI or customer projects. Interfaces with project leaders and mostly within own sector or project team.Has skill set of multiple competencies to practically make use of knowledge base to resolve issues that have known solution or deep knowledge of single competency enabling to solve new issues and demonstrate solution direction with own analysis.RequirementsMSc or Phd (Phd is a plus but not required) in technical field.Limited experience in an IC manufacturing environment, or research institute with emphasis on lithography, patterning, overlay, imaging, focus, metrology or defectivity related to node/process development.ResponsibilitiesEscalation supportContributes to service order actions and problem description clarification.New product / service developmentCreates basic diagnostics requirements for one specific use case.New product / service roll outExecutes standard tasks and can lead part of the roll out of a new product or service. As an NPI deliverable; creates knowledge sharing material for future reference.Node solution definitionExecutes analysis work within a single competence/domain, typically following predefined paths. Combines inputs from others to support making one consistent solution definition. Typically reviews with others before formally sharing.Node solution integrationCombines inputs from others to make one consistent execution plan. Supports definition of detailed integration and test plans, executes on task level. Typically reviews with others before formally sharing.CoachingMentors new-hires on first tasks.Training deliveryIs capable to deliver intermediate and advanced training to colleagues and customers.Knowledge sharingShares best known methods within the group or department.Operational excellenceImproves operational efficiency and quality in own daily work and work of the team members. Signals gaps in process and proposes improvement within scope of team.Business SupportSpeaks up and triggers VoC. Evaluates existing products.Customer DemoIndependently supports in demo preparation, execution and analysis.Data analysisPerforms high quality analysis from specific data, and extract key insights from analysis, identifying root cause and technical solutions. Usage of default toolsets and analysis methods based on own insights.This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

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. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only)On-call needs: On-call 1 week every 3 months The complete interview process includes:1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

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. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices