Senior Manager, ML Ops & Observability Engineer
GRC - Thessaloniki, Chortiatis, Greece
EUR 59K-72K (estimate) Senior-level Full Time
Tasks
- Coach engineers on MLOps best practices
- Conduct performance and scalability testing
- Deploy and monitor ML models
- Design MLOps platforms
- Ensure secure scalable cost effective cloud execution
- Execute deployment verification and rollback testing
- Implement ML CI CD pipelines
- Implement distributed tracing metrics logging
- Lead ML incident response
- Maintain runbooks and documentation
- Manage model lifecycle and versioning
- Own ML system observability
- Perform model and data validation
- Run post incident reviews and drive improvements
- Run regression testing and quality gates
- Set SLOs and alerting for ML services
- Track data drift and data quality
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Alerting | Azure | Bash | CI/CD | Data Drift | Data Drift Detection | DevSecOps | Docker | Drift Detection | ELK | Experiment tracking | Explainable AI | Feature Store | Grafana | Kubeflow | Kubernetes | MLflow | Model Monitoring | Model Registry | Observability | OpenTelemetry | Performance Testing | Prometheus | Python | Regression testing | Reliability Engineering | SLO | SQL | SRE | Scalability testing | Secrets management | Secure SDLC
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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