AI Platform Engineer
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Alerting | BentoML | CI/CD | Containers | Cost Optimization | Docker | Inference | KServe | Kubernetes | Logging | MLflow | Model Deployment | Model Monitoring | Model versioning | Monitoring | Observability | Python | Ray
Education
N/A
Roles
AI | AI Platform Engineer | DevOps | DevOps Engineer | Engineer | MLOps Engineer | Platform Engineer
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