AI Infrastructure Engineer - EA Experiences
EUR 54K-75K (estimate) Senior-level Full Time
Tasks
- Define reliability metrics and run incidents
- Drive AIOps
- Govern CI CD and continuous training
- Implement infrastructure-as-code
- Mentor engineers
- Monitor models in production
- Own MLOps platform
- Prototype iterate with stakeholders
- Run ML pipelines
- Secure AI platform
- Serve models at scale
- Set up observability and traceability
Perks/Benefits
- Complimentary games
- Family leave
- Healthcare coverage
- Hybrid work
- International travel
- Mental well-being support
- Paid time off
- Retirement savings
Skills/Tech-stack
AIOps | AWS | AWS CDK | Airflow | Amazon Bedrock | Anomaly Detection | Automated remediation | Batch inference | Bedrock | CI/CD | CloudFormation | CloudWatch | Data Monitoring | Data Quality | Datadog | DevSecOps | Drift Detection | ECS | EKS | Fargate | Feast | Feature Stores | GPU accelerators | GPU serving | Grafana | IAM | Incident Response | Infrastructure as Code | KServe | Kubeflow | Kubernetes | LLMOps | Lambda | MLOps | MLSecOps | MLflow | Model Monitoring | Model Registry | Node.js | OpenTelemetry | Postmortems | Predictive alerting | Prometheus | Python | RAG | Real Time | Real-time Inference | SageMaker | Sagemaker Pipelines | Seldon | Self-healing | Self-healing systems | Step Functions | Structured Logging | Tecton | Terraform | Triton | TypeScript | VPC | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Infrastructure Engineer | Engineer | Infrastructure Engineer
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