搜索与数据工程实习生（Ai大模型方向）
Tasks
- Analyze anti scraping mechanisms
- Build RAG data pipelines
- Build distributed crawler systems
- Build proxy pool and task scheduling
- Build search indexing and retrieval
- Build training datasets
- Clean and parse data
- Collect data from public internet sources
- Control access frequency
- Improve scalability and runtime efficiency
- Monitor crawl exceptions
- Optimize RAG retrieval results
- Optimize crawl pipeline stability
- Optimize crawl strategies and request patterns
- Optimize search retrieval performance
- Parse dynamic web pages
- Scrape web and document data sources
- Structure and process data for knowledge base
- Support data annotation and effect analysis
- Support search quality evaluation
- Update search data
Perks/Benefits
- N/A
Skills/Tech-stack
AJAX | Anti-scraping | CSS selector | Cookie | Distributed crawling | Dynamic Web | Dynamic Web Page Parsing | Elasticsearch | Embedding | Faiss | Feature analysis | HTML | HTTP | HTTPS | Kafka | Knowledge Base | Linux | Milvus | MongoDB | MySQL | OpenSearch | Playwright | Proxy Pool | Python | RAG | REST API | Rate Limiting | Redis | Regular Expression | Request Feature Analysis | Scrapy | Selenium | Session | Task Scheduling | Vector Search | Web Scraping | XPath
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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