CakeResume Job Search

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

需求、執行產品開發前期研究、轉寫產品開發規格。 3. 與工程師一起尋找解決問題的技術方案、分析產品數據含商業數據、追蹤用戶回饋、追蹤產品使用成效，持續進行產品優化迭代。 4. 與 Data Pipeline Engine

新創 AIot 公司 Using Go/Golang to collaborate with architect and cross-functional team to design and implement robust backend systems. Collaborate with front-end developers and mobile app developers to integrate server-side logic with client-side applications. Support real-time data processing and analytics such as develop and maintain APIs, microservices, and data pipelines. Handle a high volume of data to ensure the security, scalability, and reliability of backend systems. Troubleshoot

To be a problem solver! Discuss with product owner and UX designer for customer needs Design implementation detail and provide preview/test/release schedule Work with team for enhancing data pipeline efficiency Work with team for designing API interfaces (most of them will be restful API) Monitor and fine tune system performance

*** Responsibilities *** 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.

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select