AI Platform Engineer - MLOps & GenAI Infrastructure
Tasks
- Build Infrastructure-as-Code workflows
- Collaborate with security teams on standards and ways of working
- Communicate operational impact to stakeholders
- Create CI/CD deployment pipelines
- Deploy and operate model serving
- Design AI platform services and infrastructure
- Diagnose production incidents
- Implement automated testing and platform automation
- Implement observability tooling
- Manage SageMaker environments
- Manage model deployments
- Operate AI feature store infrastructure
- Operate LLM gateway services
- Perform root cause analysis
- Run batch inference pipelines
- Support internal users with platform usage
Perks/Benefits
Skills/Tech-stack
AWS | AWS CDK | Amazon EKS | Amazon S3 | Amazon SageMaker | Amazon SageMaker Feature Store | Batch inference | Bedrock | CI/CD | Feast | Feature Store | GitHub Actions | Grafana | Helm | IAM | Infrastructure as Code | Kubernetes | LLM | Model Serving | Observability | OpenTelemetry | Python | SageMaker Feature Store | Tecton | Terraform | “as-code”
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | MLOps Engineer | Platform Engineer
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