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【公司介紹】這是一家隸屬大型企業集團的知名品牌，長期深耕消費者服務與企業解決方案，近年正全面推動 AI 與數位轉型。公司擁有穩定的市場基礎與龐大的用戶場景，並積極將生成式 AI 導入多元業務流程與產品服務中。目前 AI / Data 團隊由 PM、DA 與 AI Engineer 組成，採用敏捷式開發 (Scrum) 協作模式，並直接獲得高層支持。團隊不僅負責技術研究，更著重於 將 AI 真正落地到產品與商業流程，讓工程師能直接參與從架構設計到應用場景落地的完整過程，對產品與決策產生實際影響。若你期待在穩定資源環境下，挑戰真實商業場景中的 AI 應用，這會是一個能發揮技術價值與影響力的機會。 【工作內容】• 設計與開發 LLM 驅動的 AI Agent 系統架構與核心模組• 建立任務規劃、記憶管理、工具調用與流程執行等 Agent 能力• 利用 Google ADK / Vertex AI 等平台打造具備推理能力的 AI 系統• 建構並優化 RAG（Retrieval-Augmented Generation）架構，降低模型幻覺並提升知識準確度• 整合 Function Calling、Skills 等技術，建立具上下文理解與知識注入能力的智慧系統• 建立 LLM / Agent 評估機制與自動化測試工具，持續提升系統品質與可靠度• 推動 AI 在搜尋、客服、自動化分析與數據流程等場景的應用落地 【使用技術】• Python• SQL / Database Design• RESTful API• LLM Application Development• RAG Architecture• AI Agent Systems• Prompt Engineering 加分技術：• GCP（Vertex AI / Google ADK）• Vector Database（Pinecone / Weaviate / Vertex AI Vector Search）• LLM Evaluation Framework（RAGAS / DeepEval / LangSmith）

【核心職責】 作為產品團隊的數據大腦，您將透過量化分析來驅動商業決策，確保每一個產品改動都有數據佐證。 商業與營運診斷：深入剖析業務流程與系統運作，主動挖掘流程中的斷點與瓶頸 (Bottlenecks)，提出具體的優化策略。實驗設計與評估：主導 A/B Testing 與各類驗證實驗，從假設設立、變數控制到成效解讀，提供精準的產品迭代建議。指標體系建置：與 PM 及工程團隊協作，定義關鍵績效指標 (KPIs) 與埋點計畫 (Data Logging)，確保數據採集的完整性與一致性。跨部門顧問：扮演數據顧問角色，協助不同部門釐清模糊的商業需求，將其轉化為可執行的分析專案，並產出具洞察力 (Actionable Insights) 的報告。

300多萬人使用的雲端發票載具https://www.cinvoice.tw/簡單記帳APPhttps://apps.apple.com/tw/app/id1525674363英文知識王APP【工作內容】 發展道路：成為專注於分散式系統與平行運算領域的技術專家，打造巨量資料的後端架構。 設計並實現高效能的後端服務架構，處理高流量及大規模資料運算需求。開發並優化基於 MongoDB、Redis、Kafka 的系統架構。負責後端核心服務與大型分散式系統的開發與維運，支撐數據驅動的業務需求。撰寫與優化微服務，確保高效的 API 效能與穩定性。協助規劃與建置大型平行運算環境，提升系統的擴展性與處理效率。與產品、前端及數據團隊合作，實現技術需求並確保項目交付質量。

Perform qualitative and quantitative validation on risk models, including machine learning modelsAssess model logic, assumptions and technical approaches, and evaluate model implementation and performancePerform data analysis and data quality check on large data sets through the use and/or development of algorithms.Manage validation process, including planning, executing project activities, monitoring milestones, and controlling quality of deliverablesPrepare validation of reports and communicate to the management, auditors, and other related stakeholdersEstablish and review policies and procedural guidelines regularly

【 What You'll be Doing 】 Develop, operate, and monitor ETL and real-time data pipelines for data collection, cleansing, processing, storage, and analyticsDesign and maintain data schemas, and perform database performance tuningDevelop backend APIs and maintain data visualization platforms for SHOPLINE merchants

1. 參與雲端數據架構發展規劃，設計資料處理、儲存、分析架構，以符合數據科學、數據分析、行銷應用等發展。2. 負責地端數據轉換雲端 ETL Pipeline 開發與維護、DevOps 開發與維護。3. 負責雲端數據平台穩定及架構精進，以利數據應用發展。4. 負責雲端數據應用服務平台之監控/問題解決/維運升級。5. 數據應用相關 API 開發 。

1. 參與項目中的需求溝通，可視化分析，前端以及分析維度設計 2. 參與BI及大數據項目的實施工作 3. 參與系統需求討論，進行系統的概要設計及詳細設計 4. 負責項目中的數據倉庫開發、報表開發、儀錶盤開發

Quản lý và bảo trì thiết bị mạng Quản lý và bảo trì thiết bị tường lửa Quản lý và bảo trì thiết bị máy chủBảo trì các thiết bị liên quan đến công nghệ thông tin và máy tính Xử lý sự cố thông tin cho người dùng

Phụ trách vận hành và bảo trì hàng ngày hệ thống MES của khách hàng K1, S1, BOE Phụ trách phát triển và bảo trì các yêu cầu của hệ thống MES Phụ trách vận hành, bảo trì cơ sở hạ tầng hệ thống IoT và phối hợp liên quan Phụ trách xử lý sự cố hệ thống MES và ECS của LG, cũng như giao tiếp và giải quyết vấn đề với khách hàng

* Data Management Integrity: Receive, log, and convert customer product data (e.g., Bills of Materials and preferred supplier lists) into formats used by internal systems.* Engineering Change Management: Initiate and manage Engineering Change Orders (ECOs), updating product data across all relevant systems promptly and accurately.* Process Improvement: Drive continuous improvement of product data release processes and ensure the overall quality and compliance of all product data.* Data Resolution: Work with internal cross-functional teams (Engineering, Supply Chain, Operations) and external customers to investigate and resolve complex data integrity issues.* Coordination Release: Act as the focal point for all product data-related technical issues. Disseminate notifications regarding data readiness and distribute finalized data as appropriate.* System Knowledge: Utilize various databases and business applications (including ERP and document control systems) to perform tasks with speed and a high degree of accuracy.* Mentorship: Support and mentor junior Product Data Administration positions.