Miclaw-端云协同调度专家 (Hybrid AI Architect)
Tasks
- Apply distributed consistency protocols for edge cloud memory synchronization
- Design dynamic routing for semantic complexity and privacy level
- Implement PII filtering on device before cloud requests
- Implement state sync between edge and cloud
- Maintain task context across edge to cloud switching
- Monitor network conditions and optimize load fallback to local execution
- Train model router or classifier
- Use cloud model APIs and edge small language models within system boundaries
Perks/Benefits
Skills/Tech-stack
5G | Anthropic Claude | Anthropic Claude API | Claude API | Cloud Computing | Consistency protocols | Distributed Systems | Edge Computing | GPT-4o API | Gemini API | Language Models | Large Language Models | Model classification | Model routing | Network Monitoring | Network training | Neural Network | Neural network training | OpenAI GPT | OpenAI GPT 4o API | PII filtering | Semantic routing | Small Language Models | Split Computing | State synchronization | Wi-Fi
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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