轉職熱搜工作

職責要求 1. 端子模具開發案執行(新品新模、共模新增) (1)連續模設計並參與模具組立試模。 (2)會議召開、參與：模具設計研討會、量試前會議、量試後檢討會議。 (3)模具零件清冊製作。 (4)試模初品檢驗報告製作。 2. 組織跨廠區模具開發 3. 執行行動計畫與專案 任職資格 1.熟悉金屬沖壓模具設計原理與製造流程 2.具備AutoCAD 2D／3D證照。 3.TOEIC500 以上佳

職責要求 1.模具組立、試模修改。 2.模具零件研磨、放電、鉗工等作業。 3.協助模具圖面審查。 4.集團合作模具優化專案。(需跨廠合作) 任職資格 1.熟悉金屬沖壓模具製造流程 2.熟悉模具材料、熱處理與模具壽命管理 3.能閱讀工程圖，具備良好機械製圖與尺寸公差知識

職責要求 1.負責生產設備之例行維護、日常保養、故障診斷及異常排除 2.定期執行設備保養與維護計畫，確保機台穩定運作 3.針對機台異常進行臨時修復，並紀錄維修履歷 4.配合生產排程調整，支援機台改造或效能提升 任職資格 1.機械、電機、模具等相關科系 2.具3年以上工廠機台維修保養經驗

1. 負責機械手臂單一模組的設計與開發，包括 X 軸、Z 軸、旋轉模組、夾取應用模組及框體整合模組。 2. 執行模組化設計，確保功能及性能符合設計需求。 3. 進行模組的測試、性能驗證及整合，完成設計至生產的技術轉移。 4. 參與模組化機械架構的優化與創新設計。

• Demonstrate your design skill for designing and optimizing the mechanical module of the DSC lithography process machine. • Possess strong DOE ability for system error analysis and execute test plan. • Involved in NPI project to MFG team for new system, feature and technology. Perform trouble shooting, technical support and process improvements to fulfill the goal of production output. • Involved in CIP and maintenance project for mature product. • Initiate and validate engineering changes and familiar with ERP system for document management. • Strong mindset and experience of risk assessment, cost evaluation and cross function cooperation.

職責要求 1.推動與導入人工智慧/機器學習之應用於保險業務場景，提升服務效率及客戶體驗 2.大數據研究分析，引用數位科技技術（Hadoop/Spark/Mongo DB/AWS或GCP的Big Data與ML平台等），建立機器學習模型（Python/R或RapidMiner等） 3.協助評估No/Low Code Application Platform科技，推動數位轉型 任職資格 1. 擅長資料庫工具如Oracle、MSSQLServer等 2. 對MLOps有相關研究及實作經驗 3. 能使用雲端Platform建立ML模型 4. 能以Python進行資料處理

1.帶領團隊進行產品開發 如STK/EFEM/ROBOT/周邊設備等專案執行 2.機械結構評估分析、零組件設計 3.機構拆解、故障分析、零件工程圖面製作 4.組裝、測試、作業標準書建立 5.機械手臂機構設計整合與分析驗證 6.主管交辦事項

職責要求 1. 以工廠自動化設備、物聯網設備、AI模型開發與部署專案 2. 研究與開發人工智慧之軟硬結構、並提供應用和服務 任職資格 1. 具嵌入式系統程式設計經驗，熟悉至少一種資料分析語言：Python、C#、ASP.NET 2. 熟悉影像處理/電腦視覺演算法 有成功專案經驗者佳 3. 對實現物聯網創造未來智慧工業具有熱情

職責要求 1.Participate in the design, implementation & optimization of large-scale distributed online AI services, including but not limited to recall engine, ranking engine, etc. 2.Collaborate with data scientists to develop and deploy machine learning training and inference pipeline. 3.Implement and optimize multiple application methods such as sample management, feature preprocessing, feature management, prediction, and vector based recall. 4.Ensure that systems perform reliably under the high load. This includes dealing with (but not limited to) online service, traffic scheduling, disaster tolerance, overload protection, degradation, resource management, efficiency tool implementation and many other infrastructures. 任職資格 1.Proficiency in C++/Java/golang/python programming 2.Solid basic knowledge of networking, operating systems, data structures. 3.Master NoSQL or SQL storage engine. 4.Experience in large-scale distributed system development is preferred 5.Experience with kubernetes and hadoop is preferred. 6.Familiarity with basic machine learning algorithms is preferred 7.擅長工具: C++、Java、Python、Go 8.工作技能 : Machine Learning、資料庫系統管理維護、資料庫程式設計、資料庫軟體應用

職責要求 •Work cross-functionally with domain experts, technical sales, and product owners to architect AI-based solutions in technical and industrial applications. •Determine project scope, deliverables, and success criteria, and ensure they are sufficient to address client challenges and consistent with their expectations. •Lead client interactions during technical engagement, including project meetings, technical reviews, and solution demonstrations. •Perform EDA or other data science analysis to scope unstructured problems or messy data for tractable insights •Skilled in breaking down problems, documenting problem statements and estimating efforts •Mentor junior engineers, perform code reviews and document design decisions •Create web services/APIs for serving ML/AI model results. •Collaborate with the development team and ML engineers to build state-of-the-art models, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems. •Review and finalize deliverables to ensure high quality content consistent with client and company expectations 任職資格 Qualifications and Skills •BS in Computer Science, Electrical Engineering or similar field •5+ years of experience with one modern language such as Java, C++, Python including object-oriented design. •5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to: oPyTorch, TensorFlow, Keras oCNN, LSTM, RNN oScikit-learn, pandas, numpy oOptimization techniques and fine-tuning models •3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Consulting, technical sales or solution architecture experience •Strong oral and verbal communication skills Preferred Requirements •Ph.D. or Master’s degree in a scientific or engineering domain •Experience of ML in Smart Manufacturing, Renewable Energy, Edge AI, Energy Storage, Grid Management, Semiconductor Manufacturing, or similar industries. •Research experience with high impact publications •Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models •Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure) •Team management and mentoring junior members •Experience with version control systems (e.g. Git flow) •Strong oral and verbal communication skills •Experience working with international cross-functional teams and/or customer facing work