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分群系統、用戶畫像、地圖應用結合、圖像搜索、...等系統功能，與開發團隊的產品經理、 UX 設計師、Data Pipeline Engineer、後端工程師密切合作，藉由數據驅動 SkyREC 的客戶提高交易轉換率和會員貢獻度，並從數據中

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

開發與維護，確保數據的準確性與可靠性 參與大數據平台的搭建，提升數據分析與處理效率 部署data pipeline 雲端自動化 應徵條件： 資訊工程相關科系在校學生 熟練掌握Python與MySQL 具備網路爬蟲（selenium）撰寫經

台的訂閱服務，主要工作內容： -基於業務面需求規劃資料流程，建立與維護天下集團大數據資料的Data pipeline。 -梳理技術架構與服務，持續優化效能，提高安全性與可靠性。 -維護ETL，執行清洗與轉換資料，提供

誠徵習慣系統性分析問題，追求卓越程式碼品質，非常在意產品能解決客戶痛點的你加入我們！ 【主要工作內容】 1. 與 PM , Data Pipeline Engineer 協作，實作資料串接、讀取到前端網頁 / App 的 UI 呈現 ( 前後端皆使用 JavaScript

Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will cowork with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) 2. Tuning and optimize algorithm to handle large scale data ( > 10

群系統、自動化行銷系統、廣告媒體平台串接...等系統功能，與開發團隊的產品經理、 UX 設計師、Data Pipeline Engineer、後端工程師密切合作，藉由數據驅動 91APP 的客戶提高電商交易轉換率和會員貢獻度，並從數

YOUR ROLE- Owns the responsibility for the adoption of digital & data technologies across all business. Deliver country level data platform align with global data strategy. Deliver country level advance analytic projects, provide data architect & technical consultancy for various business initiatives, build prototype to enable data driven business. Drive operational excellence, define continuous improvement around data governance, define reusable data pipelines while ensuring delivery meets comp

1. Develop a highly concurrent and scalable backend service using microservices 2. 3rd-party API integrations 3. Optimize applications and data pipelines for maximum performance and scalability 4. Foster a positive engineering culture by setting the standard and leading by example