中/高级后端开发工程师（数据平台）
Tasks
- Build AI data platform backend
- Build automated and manual labeling and quality inspection workflows
- Build end to end data feedback loop for model training and evaluation
- Create train dataset export and quality statistics
- Design unified data ingestion storage and management
- Develop data mining and retrieval capabilities
- Develop data processing pipelines
- Enable tag search vector search semantic search and similar sample retrieval
- Implement deduplication filtering and pipeline orchestration
- Implement multimodal data upload metadata persistence and state transitions
- Manage datasets and training data versions
- Support parsing anonymization splitting frame sampling vectorization and export
- Track data provenance and processing workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Iceberg | Argo Workflows | DAG | Data Consistency | Data Lakehouse | Data pipeline | Elasticsearch | Go | Idempotency | MLOps | Message Queue | Milvus | MySQL | Object storage | PostgreSQL | Python | Redis | Retry Mechanism | Semantic Search | Tag Search | Task Scheduling | Vector Search
Regions
Countries
States
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