混元大模型数据向量化检索工程师（北京）
Tencent
混元大模型数据向量化检索工程师（北京）
Job Description
混元大模型数据向量化检索工程师（北京）
📋 Job Overview
The role focuses on developing vectorization retrieval and deduplication services for large model data at Tencent. The engineer will optimize retrieval performance, establish feedback mechanisms for data cleaning, and contribute to data engineering for large models. This position is based in Beijing and involves enhancing data efficiency and accuracy for AI models.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.通过向量化检索性能的优化，提升文本排重的准确率和性能；
3.建立大模型数据清洗的反馈机制和反馈系统，提升全网数据抓取效率；
4.参与大模型的数据工程开发，为大模型提供基础数据。
🎯 Key Responsibilities
- Responsible for vectorized retrieval and deduplication services for full large model data, implementing real-time vectorized deduplication systems
- Optimize vectorized retrieval performance to improve text deduplication accuracy and efficiency
- Establish feedback mechanisms and systems for large model data cleaning to enhance full-network data crawling efficiency
- Participate in large model data engineering development to provide foundational data for large models
Locations
- Shenzhen, China
Salary
300,000 - 600,000 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 vectorized retrieval and deduplication services for full large model data, implementing real-time vectorized deduplication systems
- Optimize vectorized retrieval performance to improve text deduplication accuracy and efficiency
- Establish feedback mechanisms and systems for large model data cleaning to enhance full-network data crawling efficiency
- Participate in large model data engineering development to provide foundational data for large models
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型数据向量化检索工程师（北京） @ Tencent.
Related Books and Jobs
混元大模型数据向量化检索工程师（北京）
Tencent
混元大模型数据向量化检索工程师（北京）
Job Description
混元大模型数据向量化检索工程师（北京）
📋 Job Overview
The role focuses on developing vectorization retrieval and deduplication services for large model data at Tencent. The engineer will optimize retrieval performance, establish feedback mechanisms for data cleaning, and contribute to data engineering for large models. This position is based in Beijing and involves enhancing data efficiency and accuracy for AI models.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.通过向量化检索性能的优化，提升文本排重的准确率和性能；
3.建立大模型数据清洗的反馈机制和反馈系统，提升全网数据抓取效率；
4.参与大模型的数据工程开发，为大模型提供基础数据。
🎯 Key Responsibilities
- Responsible for vectorized retrieval and deduplication services for full large model data, implementing real-time vectorized deduplication systems
- Optimize vectorized retrieval performance to improve text deduplication accuracy and efficiency
- Establish feedback mechanisms and systems for large model data cleaning to enhance full-network data crawling efficiency
- Participate in large model data engineering development to provide foundational data for large models
Locations
- Shenzhen, China
Salary
300,000 - 600,000 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 vectorized retrieval and deduplication services for full large model data, implementing real-time vectorized deduplication systems
- Optimize vectorized retrieval performance to improve text deduplication accuracy and efficiency
- Establish feedback mechanisms and systems for large model data cleaning to enhance full-network data crawling efficiency
- Participate in large model data engineering development to provide foundational data for large models
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型数据向量化检索工程师（北京） @ Tencent.
Related Books and Jobs