Data & ML Infrastructure Engineer
Amsterdam, Noord-Holland, Netherlands
EUR 52K-75K (estimate) Mid-level Full Time
Tasks
- Build data storage and processing systems
- Configure monitoring and alerting
- Create infrastructure-as-code deployments
- Design data ingestion pipelines
- Develop training and model deployment infrastructure
- Ensure platform reliability and uptime
- Implement data governance, security, and compliance
- Implement dataset versioning
- Implement experiment tracking
- Maintain operational runbooks and documentation
- Manage data access control and audit logging
- Manage model lifecycle workflows
- Optimize storage lifecycle and cost efficiency
- Provision containerized cloud agnostic services
- Set up CI/CD pipelines
Perks/Benefits
- Company events
- Fresh team lunches provided3 times per week
- Security screening for Certificate of No Objection required
- Team events
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | CI/CD | Cloud platform | DVC | Datahub | Distributed Systems | Docker | Feast | GitLab CI | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | InfluxDB | Infrastructure as Code | Kafka | Kubernetes | MLflow | MongoDB | Monitoring | Observability | PostgreSQL | Prometheus | Python | RabbitMQ | Terraform | Vertex AI | “as-code”
Education
Regions
Countries
States
Cities
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