中/高级后端开发工程师（数据平台）
Tasks
- Build AI data platform backend
- Build data closed loop for acquisition processing mining labeling training and evaluation
- Create data mining and retrieval for label search vector search semantic search and similar sample search
- Design data pipeline orchestration with parsing deidentification splitting frame extraction vectorization automation labeling and quality control
- Develop unified data acquisition storage management retrieval and conversion
- Ensure data consistency validation and failure retry logic
- Implement multi modal data upload metadata writing and file persistence
- Manage datasets and training data with versioning sample tracking and export
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Argo Workflows | Consistency | DAG | Data pipeline | ETL | Elasticsearch | Go | Iceberg | Idempotency | Logging | Message queuing | Milvus | Monitoring | MySQL | Object storage | PostgreSQL | Python | Redis | Semantic Search | State Machine | Task Scheduling | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Backend | Backend Developer | Data Platform | Data Platform Engineer | Developer | Engineer | Platform Engineer
Regions
Countries
States
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