Senior MLOPS Engineer
Melbourne Support Centre
AUD 118K-123K (estimate) Senior-level Full Time
Tasks
- Build and operate ML workflows
- Collaborate on ML lifecycle integration
- Deploy production ML pipelines
- Design machine learning production systems
- Enforce testing and quality gates
- Ensure model monitoring and retraining
- Ensure security and responsible AI compliance
- Implement automated CI/CD for ML
- Implement observability metrics logging alerting
- Maintain model risk governance
- Manage model versioning and data versioning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Azure | BigQuery | CI/CD | Cloud platform | Data Versioning | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Infrastructure as Code | Logging | MLOps | Machine Learning | Metrics | Model Monitoring | Model versioning | Observability | Python | SQL | Terraform | Testing | Vertex AI | “as-code”
Education
N/A
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