机器学习平台测试工程师
Tencent
机器学习平台测试工程师
Job Description
机器学习平台测试工程师
📋 Job Overview
The Machine Learning Platform Test Engineer role at Tencent focuses on ensuring the quality and stability of the overseas machine learning platform on Tencent Cloud. Responsibilities include building quality assurance systems, analyzing and optimizing platform performance, and developing automated evaluation tools to enhance efficiency. This position plays a key role in identifying risks, supporting R&D teams, and driving improvements in the ML platform's reliability.
📍 Location: Shanghai, China
🏢 Business Unit: CSIG
📄 Full Description
2.技术分析与优化：分析平台实现路径，协助研发团队发现质量隐患和性能瓶颈，推动改进措施落地；
3.评测工具开发：建设自动化评测工具/平台，提升评测效率和工程化水平。
🎯 Key Responsibilities
- Build a quality assurance system for Tencent Cloud's overseas machine learning platform, establishing a full-chain quality risk identification and stability assurance framework.
- Analyze platform implementation paths, assist R&D teams in discovering quality risks and performance bottlenecks, and promote the implementation of improvement measures.
- Develop automated evaluation tools/platforms to improve evaluation efficiency and engineering standards.
Locations
- Shanghai, China
Salary
200,000 - 400,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Build a quality assurance system for Tencent Cloud's overseas machine learning platform, establishing a full-chain quality risk identification and stability assurance framework.
- Analyze platform implementation paths, assist R&D teams in discovering quality risks and performance bottlenecks, and promote the implementation of improvement measures.
- Develop automated evaluation tools/platforms to improve evaluation efficiency and engineering standards.
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台测试工程师 @ Tencent.
Related Books and Jobs
机器学习平台测试工程师
Tencent
机器学习平台测试工程师
Job Description
机器学习平台测试工程师
📋 Job Overview
The Machine Learning Platform Test Engineer role at Tencent focuses on ensuring the quality and stability of the overseas machine learning platform on Tencent Cloud. Responsibilities include building quality assurance systems, analyzing and optimizing platform performance, and developing automated evaluation tools to enhance efficiency. This position plays a key role in identifying risks, supporting R&D teams, and driving improvements in the ML platform's reliability.
📍 Location: Shanghai, China
🏢 Business Unit: CSIG
📄 Full Description
2.技术分析与优化：分析平台实现路径，协助研发团队发现质量隐患和性能瓶颈，推动改进措施落地；
3.评测工具开发：建设自动化评测工具/平台，提升评测效率和工程化水平。
🎯 Key Responsibilities
- Build a quality assurance system for Tencent Cloud's overseas machine learning platform, establishing a full-chain quality risk identification and stability assurance framework.
- Analyze platform implementation paths, assist R&D teams in discovering quality risks and performance bottlenecks, and promote the implementation of improvement measures.
- Develop automated evaluation tools/platforms to improve evaluation efficiency and engineering standards.
Locations
- Shanghai, China
Salary
200,000 - 400,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Build a quality assurance system for Tencent Cloud's overseas machine learning platform, establishing a full-chain quality risk identification and stability assurance framework.
- Analyze platform implementation paths, assist R&D teams in discovering quality risks and performance bottlenecks, and promote the implementation of improvement measures.
- Develop automated evaluation tools/platforms to improve evaluation efficiency and engineering standards.
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台测试工程师 @ Tencent.
Related Books and Jobs