MaaS 平台开发工程师
Tasks
- Build inference service pipelines
- Build unified model service capabilities
- Deploy models and manage versions
- Design and develop Model as a Service platform
- Develop standardized API SDK interfaces
- Implement monitoring and stability保障
- Implement scheduling capabilities
- Implement service management capabilities
- Manage and publish multiple models
- Optimize latency throughput and resource utilization
Perks/Benefits
- N/A
Skills/Tech-stack
API | C++ | Containerization | Distributed Systems | Go | Inference Optimization | Kubernetes | Model Deployment | Python | SDK | TensorRT | Triton | VLLM
Education
Roles
Backend | Backend Engineer | Engineer | Platform | Platform Engineer
Regions
Countries
States
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