Ai全栈研发工程师-大数据方向
Tasks
- Apply AI technologies to data platform scenarios
- Build data indicator systems
- Design backend services and data processing pipelines
- Develop data platform services
- Develop multidimensional analysis and data services
- Explore and implement intelligent agents and automated workflows
- Implement data analysis services
- Improve stability and R and D efficiency
- Optimize data system architecture and performance
- Support data collection processing governance and statistics
- Track emerging AI and big data engineering practices and deploy with business use cases
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Spark | Backend Development | Data Governance | Data Processing | Data Warehousing | Data pipeline | Go | Hadoop | Hive | Information Retrieval | Intelligent agents | Java | Linux | Multidimensional Analysis | Offline data | Offline data processing | Python | RAG | Real Time | Real-time Data | Real-time Data Processing | SQL | Scala | Shell | Workflow automation
Education
Roles
AI | AI Engineer | Backend | Backend Engineer | Data Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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