Deploy Healthcare AI on Huawei Cloud

I already have a healthcare-focused AI solution ready for production; what I need now is an engineer who truly knows Huawei Cloud inside out to turn it into a robust, scalable service for a hospital environment.

Scope
The application will automate key hospital workflows, with two immediate priorities: real-time patient monitoring and intelligent staff scheduling. Low-latency inference, strong uptime, and strict data-security controls comparable to HIPAA are non-negotiable. You may propose the best mix of ModelArts, ECS, CCE/Kubernetes, Cloud Eye, and any other Huawei Cloud services that keep costs sensible while preserving performance.

Key deliverables
• End-to-end deployment pipeline (code → ModelArts training/inference → production)
• Secure APIs or micro-services exposing patient-monitoring and staff-scheduling endpoints
• Auto-scaling and monitoring dashboards configured in Cloud Eye
• Deployment documentation and hand-off session so my in-house team can maintain and iterate

Acceptance criteria
High Throughput
Faster Response
End to end testing
Scalable