中/高级后端开发工程师（Ai算力平台）
Tasks
- Build backend systems for AI compute platform and MaaS
- Build training and fine tuning task submission queue and state machine
- Collaborate with algorithm inference optimization and SRE teams to improve stability observability and release efficiency
- Develop unified gateway tenant permissions and token certificate management
- Implement GPU resource management scheduling and quota control
- Implement model registration deployment versioning and gray release
- Integrate Kubernetes cloud native AI task systems and orchestration
- Manage online inference services routing rate limiting and request tracing
- Manage task logs checkpoints and model artifact lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Blue-Green Deployment | Blue/green | CI/CD | Circuit Breaker | GPU resource management | Go | Gray Release | Java | Kubernetes | Logging | MLOps | Message Queue | Model Deployment | Model versioning | Monitoring | MySQL | Object storage | Observability | Online Inference | PostgreSQL | PyTorch | Python | Rate Limiting | Redis | Resource Management | Resource Pool | Retry) | Rollback | Task Scheduling
Education
Roles
Regions
Countries
States
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