AI Platform Engineer
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Summary
Build and operate production AI model deployment platforms and MLOps tooling, handling model lifecycle management, inference pipelines, monitoring, and observability for batch and real-time AI workloads.
- Automate model packaging validation and rollout
- Build and operate production AI model deployment platforms
- Contribute to MLOps tooling and AI infrastructure adoption
- Define production AI operational standards and runbooks
- Implement monitoring logging alerting and observability
- Optimize performance and cost for AI services
- Support batch and real time AI workloads
- Support inference pipelines and deployment workflows
- Support model lifecycle management promotion and rollback
- Troubleshoot model serving API behavior and deployment issues