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團隊需要新血的加入，希望藉由您的專業能力，一起向前邁進、成長。 【工作內容】 1.遵守物件導向和 Clean Code原則進行軟體開發工作。 2.規劃、開發、測試、部署、維護ASP.NET網站或WebAPI…等網路應用程式。 3.

單元測試及整合測試程式碼，頻繁地與團隊其他成員的程式碼整合以交付高品質程式 4. 依據Clean code及OO設計原則，持續重構程式碼 5. 參與架構設計與開發，使系統能持續演化改善以應對快

驗 4.撰寫整合測試及單元測試，共同建構團隊自動化測試環境 5.良好的程式開發習慣，重視Clean code及OO設計原則，能持續關注及優化程式碼 6.參與架構設計與開發，支持系統持續演化改善

Designing, developing, and maintaining web-based applications Solving front-end and back-end issues Perform code review and refactoring Write a clean and sustainable code that can be used in the future Ensure new and legacy applications meet quality standards Scheduling and reporting regarding ongoing projects

What will you do: Write high-quality, clean, safe and reliable code, robust tests, and create clear documentation. Continue to communicate well with the sales team and customers. Analyze requirements, develop and deliver product features. Identify and fix problems, improve stability and user experience. Optimize application for maximum performance and scalability. About Us: Sysfeather Co. is an e-commerce SaaS provider from Taiwan, providing merchants with omni-channel and one-stop solutions, in

Collaborate with cross-functional teams to analyze, design, and implement software solutions Working along-side lead developer in assisting with building, maintaining parts of the platform Write clean, efficient, and well-documented code, updating code to GitHub Participate in code reviews and contribute to continuous improvement initiatives Troubleshoot, debug, and resolve software issues Stay up-to-date with industry trends and technologies Periodically participate in events such as hackathons

RETChat Model Factory 模型工廠團隊協助客戶分析海量數據，創造價值。 主要工作內容是協助客戶透過數據分析商業問題，尋找數據驅動解決方案，並和客戶的經營團隊一起合作，根據客戶的商業模式，透過演算

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

1. Translate business requirements into user stories for the development teams to understand the product vision and inspire them to deliver exciting and actionable solutions. 2. Driving the lean growth process end-to-end: Research, growth models, prioritization, experiment design, delivery and post-analysis 3. Formulate new hypotheses and discover product opportunities by conducting user behavior and performance analysis. 4. Fully understand the UX, from design to drop-off, how various segments