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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. 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.

*Job Overview We are seeking a backend engineer to build AI-powered legal automation services. You’ll be responsible for developing stable, secure, and scalable backend systems, supporting features like smart document parsing. *Responsibilities 1) Design and implement backend APIs and microservices. 2) Integrate NLP models and databases to process legal documents. 3) Optimize system performance and automation accuracy. 4) Collaborate with frontend, product teams. 5) Write tests and debug to ensure system stability. 【職位概述】 我們正在尋找一位後端工程師，專注於打造結合人工智慧與法律自動化的服務。此職位將負責開發穩定、安全且可擴展的後端系統，支援智慧文件解析等核心功能。 【工作內容】 1) 設計並實作後端API與微服務架構。 2) 整合 NLP 模型與資料庫以處理法律文件。 3) 優化系統效能與自動化流程準確度。 4) 與前端、產品團隊合作。 5) 撰寫測試與除錯，確保系統穩定性。

我們正在尋找具備推薦系統實作經驗的 Python 工程師加入我們的團隊！ 【職務說明】 - 負責CRM客戶關係管理系統智慧客服中的推薦系統開發與維護 - 運用Python打造能即時推薦、動態回應、並具備情緒分析能力的客戶訊息處理系統 - 與產品團隊、AI團隊緊密合作，提升推薦模型效能 【工作內容】 - 推薦系統演算法開發（如Collaborative Filtering、Content-based、Hybrid Models、深度學習模型等） - 特徵工程 (Feature Engineering)、情緒分析 (Sentiment Analysis) 的模型建立與維護 - 透過Python實作高效能推薦演算法，並進行效能調優 - 資料管道建置與維護，確保系統穩定性與即時性 【必備技能】 - 熟悉Python及相關機器學習函式庫（如scikit-learn、TensorFlow、PyTorch等） - 具備推薦系統、機器學習或資料分析相關經驗 - 了解演算法、線性代數、統計、資料結構與資料庫基本原理 【加分條件】 - 曾使用過BERT、GPT等NLP模型經驗 - 具備資料工程、分散式運算經驗（如Kafka、Spark） - 有客服或CRM系統開發經驗者尤佳 如果你對打造新一代智慧化推薦系統充滿熱情，歡迎加入我們，一起用科技提升客戶體驗！

設計與實作 LLM 微調（Fine-Tuning）流程，並根據實務應用需求進行模型優化運用 HuggingFace、LoRA、QLoRA、Deepspeed 等工具對 Transformer 架構進行調校建構與維護資料前處理與 Tokenization pipeline，支援中文與多語環境下的 NLP 任務撰寫並執行模型評估流程（BLEU / ROUGE / EM / Retrieval-based Precision 等）部署並持續優化已訓練模型於雲端環境中的表現與穩定性與產品開發團隊協作，提供技術建議與最佳實作，落地 AI 解決方案