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- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative

有別於相同領域之金融科技其他公司，我們專注金融投資技術新創 , 整合研發、設計、服務，以「Real AI Value」之服務理念，致力提供完整、快速、客製化的服務予我們的客戶。 這個職位我們需要研究與開發機器

1.、推動新資料分析平台搭建，維護和迭代現有資料後台系統，確保後台資料的高準確率和高可用性 2、透過跨部門溝通、管控、協調推動產品功能上線，對接技術側完成資料倉儲體系搭建，驗證資

1. 行銷議題分析與行銷解決方案之建議，提供行銷數據分析報告 2. 數據分析、挖掘、建模、模式評估等相關工作，並進行模型評估 3. 與使用者及開發人員合作，定義 Report 及 Business Intelligence 需求及規格，參與

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

1、熟悉Excel製作遊戲的數學模型 2、有機率計算經驗者 3、擅長機率計算/ 期望值 4、喜愛遊戲，並熱衷研究遊戲參數 5、溝通與邏輯能力 6、Python代碼技能者加分

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

數位轉型MarTech/SerTech/SaleTech、網路商城、公司內部服務等智慧功能開發

版本控制 10. 熟練運用 VSCode、PyCharm 或其他主流 IDE 11. 注重程式碼品質和維護性 【 加分條件 】 1. 專長於 Python 和機器學習（ML） 2. 熟悉關聯式資料庫操作和開發，例如 SQL 指令等 3. 熟悉 Atlassian JIRA 專案管理平台