轉職熱搜工作

1. 協助AI相關資料的整理與數據分析，具備基礎AI技術應用及操作能力。 2. 協助公司系統相關的維護與更新 3.主管交辦事項

Job Summary/Role: The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases. Responsibility: • Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions. • Architect on real MFG needs and translate requirements into technical needs. • Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.) • Consolidate the requirements and using data engineering skills to design a robust Data Mart. • Participate in design, architecture review and deployment of Big data and data warehouse solutions. • Design for automation and monitoring mechanism in a continuous integration environment. • Bring new data technology with POC to solve existing data challenges. • With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases). • Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow. • Provide direction, training, and guidance to less experienced team members.

1. 臨床試驗之可行性評估 2. 臨床試驗資料彙整 3. 專案開設與管理 4. 分析業界資訊，留意日後產業市場變化 5. 整理市場的功能需求，競爭產品的技術分析 6. 具備臨床試驗之經驗與熟悉醫療器材ISO 系統尤佳

我們是雅德思行銷，是一家新創行銷顧問公司，我們的成員夥伴都是一群活潑、充滿創意點子的人，期待不同新血加入我們，激盪出更多創意火花。 我們善於以正向思考去看待任何事物，尊重每一個人的人格特質，重視發掘每個人的天賦，讓您發揮所長，歡迎對人生與喜愛冒險的您一起加入我們雅德思行銷顧問公司! 我們重視每一位夥伴，再創新的過程中我們協助客戶成長也跟著客戶一起成長，我們重視團隊也強調個人的發展與想法，發揮創意也包容他人的想法，是雅德思行銷的文化與DNA。 數據分析師主要工作內容 1.依據行銷數據，診所營運數據進行分析給予分析建議 2.將原始數據做成視覺化報表呈現 3.應用多種統計方法進行數據分析 本職位適合具備以下技能的夥伴 1.統計知識 2.資料分析相關工作經驗一年以上佳

AI規劃師主要工作內容 1.理解營運與工作流程導入AI工具 2.AI工具與解決方案研究與分析 3.工作流程自動化 4.AI知識儲備，數據分析週報，數據分析月報製作 5.協助主管進行跨部門的溝通與協調 本職位適合具備以下技能的夥伴 1.自動化工具使用 例如n8n等自動化工具 2.AI工具使用與導入經驗至少3個月 3.簡報製作的能力 4.具備跨部門溝通能力包含與RD，客服，行銷等不同職位溝通能力者佳

1.根據內外部業務需求，提供數據分析與洞察 2.以商業應用角度解讀分析結果，並提供對應策略建議 3.熟悉內部數據平台，對內及對外進行使用推廣 4.跨部門、跨集團，及外部數據合作洽談 5.執行主管交辦事項與專案 【薪資待遇】月薪依能力與經歷核敘；若績效達平均水準者，年薪約77~95萬，績效優者年薪將更高。

- 設計與開發 AI 服務，整合工具與外部系統 - 建立任務編排、回饋迭代與安全控管（紅隊/防護） - 優化對話設計、記憶體策略與評測資料集 - 與業務/產品合作打造可量產的自動化解決方案 負責 AI 的任務編排與工具整合，讓智慧助理在實務中可被監控、可維運、可量產。 想把能力化為可複用服務現在就加入，打造真正會做事的 AI！ 【你需要做什麼？】 •善用 AI 工具提升需求分析、設計報表與規劃效率應用趨勢 •規劃：分析內部營運數字與外部市場趨勢，協助高階主管制定集團中長期發展策略，包含策略方向、目標設定、行動計畫擬定等。 •精實管理，流程改善 •主管指派之專案(規劃/推動/執行) •協助主管追蹤公司各部門專案推動進度與成效。 •協助總經理進行跨部門、跨單位的溝通協調與會議，進行追蹤與回報進度和成果。 【你需要做什麼？】 •精實管理，流程改善 •主管指派之專案(規劃/推動/執行) •協助主管追蹤公司各部門專案推動進度與成效。 •協助進行公司內部管理稽核事項。 •協助總經理進行跨部門、跨單位的溝通協調與會議召集，進行追蹤與回報進度和成果。 【你需要具備什麼？】 • 擅長數位軟體應用，具備數字分析能力 • 具備作業流程設計、改善與專案執行經驗 • 工業工程管理相關科系優先錄取 【其他條件】 • 需接受3-6個月駐點營運培訓 -1-3個月，熟悉產業生態、服務流程、產品、TA樣貌 (札根) -4-6個月，提專案計劃，落地執行，展現成果 Claude、Chatgpt、Google Gemini、Felo ai、Perplexity、Manus、NotebookLM、Notion、Typeless、Suno 等相關使用者尤佳 什麼產業可以讓你創造10年發展？ 在少子化、老齡化快速變化的社會結構下，找到一個穩定且有前景的產業是至關重要的。 媽咪樂致力於開創「居家服務信任中心」，我們提供客戶「訂閱式服務」， 聚焦客戶居家的需求和痛點，提供最佳的解決方案和服務，為客戶創造最大價值。 台全直營21服務駐點，積極展店，公司提供您發展的舞台與必要的資源，邀請具企圖心的 您一同加入

【Job Overview】 The goal is to serve as the central nerve center of supply chain operations, monitoring real-time data to drive performance across Fulfillment Centers. The team forecasts demand, mitigates service risks, and optimizes end-to-end logistics (IB and OB) to ensure on-time, in-full delivery. Key responsibilities include analyzing KPIs, generating reports, and enhancing operational efficiency through proactive, data-driven decision-making. 【Key Responsibilities】 1.Monitor and publish comprehensive performance dashboards highlighting leading indicators for Fulfillment Centers (FCs). 2.Safeguard reliability by proactively identifying service risks and recommending mitigation strategies to the shift leader. 3.Organize data from multiple sources (SQL, Excel) to create dashboards and publish periodic performance reports. 4.Partner with other teams to align on daily processing activities. 【Essential Qualifications】 1.Bachelor‘s degree. 2.3+ years of Proven experience in logistics, supply chain management, or data analysis. 3.Strong analytical abilities, proficiency in data tools (SQL, Excel), & experience in troubleshooting. 4.Data-driven, fast-paced, and capable of managing multiple priorities. 5.Basic communication skills – understand & speak Mandarin and English. 6.Attentive and quick to respond to emergencies. 【About Us】 Coupang is one of the fastest-growing and most innovative companies in the world, achieving the fifth-largest IPO in U.S. tech history. We have built an exceptional end-to-end e‑commerce and logistics network, fully embracing a customer‑obsessed culture and continually setting new global standards for innovation. Coupang breaks the traditional trade‑offs of e‑commerce by delivering lightning‑fast delivery at the lowest prices across millions of products. With offices in Korea, the United States, Coupang provides abundant opportunities for talent to take initiative, grow, and make a meaningful impact. We are now expanding our HR team at Coupang Taiwan Logistics Center (Rocket Delivery).

1.協助推動麻醉部智慧醫療深耕計畫，負責人工智慧(AI)開發與臨床應用落地、資訊清理、轉換與品質控管流程，提升臨床決策效率與流程管理品質。 2.可依專案性質與任務需求，採遠端(off-site)或現場(on-site)工作。

＜About the job＞ As the AI Software Engineer, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). ＜Job Description＞ Responsible for deploying the AI/Data Science collaborative framework and building the AI model and data operating infrastructure. Using software development experience to design and develop high-performance automated systems for AI development and operation. As below: ．Collaborating with Data Scientist/AI ML Engineer team, other software system development teams, and the infrastructure team. ．Ability to utilize various tools/methods to build the MLOps/DataOps/DevOps and deploy and manage the AI Development framework and infrastructure ．Developing infrastructures for data transformation and ingestion and automating important infrastructure to process data ．Deploy AI models to the Inference server and optimize the performance of the model serving operation reliably and efficiently. ．Assist the Data Scientist/AI ML Engineer team in converting the AI models into APIs to serve other systems or integrate with other systems. ＜Skill Sets＞ (1)Excellent problem-solving and troubleshooting skills. (2)Genuine passion for learning new technologies and open-source projects. (3)Familiarity with Python and Java (python is a must) (4)Good understanding of the Linux OS environment, the Shell Scripting, and infrastructure/networking knowledge. (5)Experience with GitLab CI/CD (Nice to have but not necessary) (1)Experience with MLops and Model Serving tools. (2)Experience in GPU programming and performance tuning (3)Being familiar with AZURE (or AWS) cloud infrastructure will be a plus (4)Familiar with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s)