机器学习平台前端开发工程师
Tencent
机器学习平台前端开发工程师
Job Description
机器学习平台前端开发工程师
📋 Job Overview
The Machine Learning Platform Frontend Development Engineer role at Tencent involves designing and developing frontend for big data and machine learning platforms, optimizing architecture, and building component libraries to enhance development efficiency. Responsibilities include performance optimization to improve user experience on platforms like WeData and Taiji, as well as close collaboration with backend teams for seamless integration. This position focuses on advancing frontend technologies and DevOps practices to elevate overall platform quality.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.负责前端组件库&工具库构建和优化，devops建设和前沿技术预研，提升团队开发质量和效率；
3.通过前端技术与性能优化，提升WeData/太极等平台的用户体验；
4.与后端团队紧密合作，确保前后端接口的顺畅对接，优化整体系统性能。
🎯 Key Responsibilities
- Responsible for frontend design and development of Tencent's big data and machine learning platforms, as well as architecture optimization.
- Responsible for building and optimizing frontend component libraries and tool libraries, DevOps construction, and research on cutting-edge technologies to improve team development quality and efficiency.
- Improve user experience of platforms such as WeData/Taiji through frontend technologies and performance optimization.
- Closely collaborate with backend teams to ensure smooth docking of frontend and backend interfaces and optimize overall system performance.
Locations
- Shenzhen, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for frontend design and development of Tencent's big data and machine learning platforms, as well as architecture optimization.
- Responsible for building and optimizing frontend component libraries and tool libraries, DevOps construction, and research on cutting-edge technologies to improve team development quality and efficiency.
- Improve user experience of platforms such as WeData/Taiji through frontend technologies and performance optimization.
- Closely collaborate with backend teams to ensure smooth docking of frontend and backend interfaces and optimize overall system performance.
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台前端开发工程师 @ Tencent.
Related Books and Jobs
机器学习平台前端开发工程师
Tencent
机器学习平台前端开发工程师
Job Description
机器学习平台前端开发工程师
📋 Job Overview
The Machine Learning Platform Frontend Development Engineer role at Tencent involves designing and developing frontend for big data and machine learning platforms, optimizing architecture, and building component libraries to enhance development efficiency. Responsibilities include performance optimization to improve user experience on platforms like WeData and Taiji, as well as close collaboration with backend teams for seamless integration. This position focuses on advancing frontend technologies and DevOps practices to elevate overall platform quality.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.负责前端组件库&工具库构建和优化，devops建设和前沿技术预研，提升团队开发质量和效率；
3.通过前端技术与性能优化，提升WeData/太极等平台的用户体验；
4.与后端团队紧密合作，确保前后端接口的顺畅对接，优化整体系统性能。
🎯 Key Responsibilities
- Responsible for frontend design and development of Tencent's big data and machine learning platforms, as well as architecture optimization.
- Responsible for building and optimizing frontend component libraries and tool libraries, DevOps construction, and research on cutting-edge technologies to improve team development quality and efficiency.
- Improve user experience of platforms such as WeData/Taiji through frontend technologies and performance optimization.
- Closely collaborate with backend teams to ensure smooth docking of frontend and backend interfaces and optimize overall system performance.
Locations
- Shenzhen, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Responsible for frontend design and development of Tencent's big data and machine learning platforms, as well as architecture optimization.
- Responsible for building and optimizing frontend component libraries and tool libraries, DevOps construction, and research on cutting-edge technologies to improve team development quality and efficiency.
- Improve user experience of platforms such as WeData/Taiji through frontend technologies and performance optimization.
- Closely collaborate with backend teams to ensure smooth docking of frontend and backend interfaces and optimize overall system performance.
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台前端开发工程师 @ Tencent.
Related Books and Jobs