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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.Responsibilities: AI algorithm/application research and development on image recognition, time series forecasting, and abnormal detectionAI system design and development, including system infrastructure (docker/K8S) and web application.AI System analysis, design, development and integration for cross organizations/systems projects.Innovate, develop and introduce Intelligent Manufacturing Solutions.Hiring Organization: IMC

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.

*本職缺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://tinyurl.com/yyowug8p1.A.I. technology/application research, design and development2.Machine learning, statistical training, and deep learning development3.Initial, innovate, develop and introduce Intelligent Manufacturing Solutions4.System analysis, design, development and integration for cross organizations/systems projects.

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 AI4BI team serves as the central intelligence hub within the Corporate Planning Organization (CPO). Our mission is to empower business users with AI-driven solutions that enhance customer satisfaction and streamline operational efficiency. We work closely with stakeholders who blend deep domain expertise in areas like demand and capacity planning with strong analytical capabilities.As an AI Engineer in the Product Innovation department, you will collaborate closely with product managers, designers, and internal business users to prototype and integrate new features into products. You are self-motivated and naturally curious, driven to innovate and deliver impactful results. Responsibilities: 1. Drive Innovation and Impact: Pioneer novel AI/ML solutions from initial concept to functional prototype. Shape the future of our internal product with your discoveries.2. Collaborate with Business Users: Work closely with internal stakeholders to understand needs and translate them into actionable AI-driven solutions that create measurable value.3. Apply Smart AI Techniques: Choose and implement the appropriate methods—classic machine learning, deep learning, or generative AI—to effectively solve diverse problems.4. Partner Across Teams and Geographies: Collaborate with cross-functional, global teams including AI researchers, engineers, and domain experts to integrate AI into production systems.5. Share Knowledge and Stay Current: Communicate insights through data storytelling, mentor colleagues, and proactively adopt emerging AI/ML trends to continuously improve solutions.

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。

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. Manage and lead the design, implementation, and maintenance of AI infrastructure systems for reliable operations of VNAP's AI prediction services and training environments Co-work with IT/CIM infra teams, which host CPU/GPU application servers and database services such as VM/K8S, Kafka, MongoDB, Oracle middleware for VNAP, to ensure high availability and reliability through well-established monitor metrics and alarms.Design and implement infra-as-code tools like Ansible and Terraform to establish auto-recovery mechanisms to minimize tool idle/hold lot impacts caused by system issues.Develop and maintain applications using C#/Delphi/Python on top of those infrastructure systems.Work location : Hsinchu or TaoyuanHiring Organization: IMC

Company highlights Over 100 million users worldwideDiverse product offerings, including cryptocurrency exchange, payment services, DeFi wallet, and NFT marketplace ResponsibilitiesResponsible for backend development, system architecture design, code review, and implementation.Develop prototypes for new products, lead project execution, and experiment with innovative technologies and solutions.Solve complex problems in large-scale backend architecture and mobile platforms, ensuring system performance and stability.

用 AI 幫政府大腦升級！尋找邏輯清晰、擅長溝通的專案指揮官 👋 關於這個角色 我們正在協助政府單位導入最先進的「AI 知識管理系統」。這不是傳統的硬體採購，而是充滿挑戰的軟體服務與 AI 應用落地。 我們需要一位能獨當一面的 PM，擔任**「政府承辦窗口」與「內部開發團隊」**之間的翻譯官與指揮塔。如果你擅長把模糊的需求變清楚，並且對 AI 應用有熱情，這個位置就是為你準備的！ ⚔️ 你的核心任務 (Responsibilities) 專案全生命週期管理：從專案啟動、需求訪談、進度控管到最後的驗收結案，你是整艘船的舵手。確保專案在時程內交付（政府案的 Deadline 是鐵律！）。政府標案與文件駕馭：協助撰寫服務建議書（Proposal）、需求規格書。處理繁瑣的專案文件（會議記錄、測試報告、驗收文件），確保符合公部門的行政流程與規範。溝通與需求轉譯：對外： 聽懂政府承辦人員的「許願」，釐清他們真正的痛點，管理客戶期望。對內： 將客戶需求轉化為工程師看得懂的 User Story 或規格，並協調開發資源。AI 產品落地應用的把關：協助客戶整理知識庫資料（Data），確認 AI 回答的準確度，不僅是把系統架好，更要讓客戶覺得「好用」。 🔍 我們尋找的夥伴 (Requirements) ✅ 必備條件 (Must-Haves) 具備軟體或資訊專案管理經驗： 至少 2 年以上經驗，清楚軟體開發流程（SDLC）。熟悉政府專案生態： 知道什麼是 RFP、限制性招標，或者曾經與公部門打過交道，不排斥撰寫正式文件。邏輯強大的溝通者： 能在客戶（許願方）與工程師（實作方）之間取得平衡，不會當只會傳話的傳聲筒。抗壓性與解決問題能力： 遇到需求變更或突發狀況時，能冷靜找出替代方案。 🌟 加分項目 (Nice-to-Haves) 有 AI / LLM / KM 相關經驗： 對 RAG（檢索增強生成）、知識庫管理有概念者優先錄取。PMP 證照： 或其他相關專案管理證照。技術背景： 曾經寫過程式，或者能看懂 API 文件、資料庫結構，溝通會更順暢。 🎁 我們提供什麼 (What We Offer) 具有影響力的專案： 你的成果將直接改善公部門的運作效率，是看得到的具體貢獻。AI 實戰經驗： 你將站在 AI 應用導入的第一線，累積極具市場價值的 Domain Know-how。強大的後盾： 我們有經驗豐富的技術團隊支援你，你不必單打獨鬥面對技術難題。

【About This Role】We are seeking a pragmatic AI Engineer to join our product and engineering team to build and deploy our innovative shopping agent platform. This is a hands-on role focused on leveraging existing AI technologies, frameworks, and models to create production-ready conversational commerce solutions.You'll be working at the intersection of AI/ML, payment systems, and e-commerce to deliver seamless shopping experiences to JKOPay's 7 million users.【What You’ll Do】AI Implementation Integration◆ Integrate and fine-tune large language models for conversational commerce use cases◆ Design conversation flows and dialogue management systems for shopping interactions◆ Implement product search and recommendation systems◆ Build data pipelines for training data collection and model improvementOptimize Chat Quality◆ Monitor AI model performance, accuracy, and user satisfaction metrics◆ Optimize model inference speed and cost efficiency in cloud environments◆ Implement A/B testing frameworks for conversation flow optimization◆ Collaborate with product team on feature requirements and user experience improvementsCross-functional Collaboration◆ Work closely with backend engineers on API integrations and system architecture◆ Partner with product managers to deliver the solutions◆ Support QA team in testing AI-driven features and edge cases

Mô tả công việcBuild and training pipelines for Generative AIImplement, optimize with state-of-the-art computer vision modelsCollaborate with teams to integrate computer vision algorithms into larger AI systems and applications.Stay up-to-date with the latest advancements in computer vision research and apply them to enhance our AI projects.Yêu cầu công việcFinal year students or fresh graduates with GPA above 3.2/4 or 8.0/10;Education: Top students from Vietnamese universityEnglish: IELTS 6.0, TOEIC 800, or Cambridge C1 (Nice to have)Experience: Fresh graduates or candidates with less than 2 years of experience.Employment Type: Full-time.Proficiency in programming languages such as Python, C++, or similar, along with experience in deep learning frameworks (e.g., PyTorch).