Senior MLOps Engineer
Melbourne, VIC, Australia
AUD 75K-100K (estimate) Senior-level Full Time
Tasks
- Architect ML experimentation to production transition
- Build closed loop experimentation from telemetry to refinement
- Ensure reproducible ML pipelines
- Implement secure deployment practices
- Optimize ML infrastructure cost
- Partner with security teams
- Provide technical guidance and reviews
- Provide technical leadership
- Remediate security risks
- Standardize model deployment versioning and release
Perks/Benefits
- Continuous learning
- Hackathons
- Hybrid work
- Paid gender-affirming care leave
- Paid parental leave
- Wellbeing initiatives
Skills/Tech-stack
AWS | AWS Lambda | Amazon EC2 | Amazon EKS | Amazon SageMaker | CI/CD | Caching | Dependency Scanning | Distributed Systems | Event Driven | Event-driven architecture | IAM | Infrastructure as Code | Kubernetes | MLOps | MLflow | Machine Learning | Metaflow | Model Registry | Orchestration | Security | Terraform | “as-code”
Education
N/A
Roles
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