Senior Machine Learning Engineer
AUD 75K-85K (estimate) Senior-level Full Time
Tasks
- Build LLM platform
- Build batch inference pipelines
- Deploy real time model serving
- Design ML infrastructure
- Develop Python services and libraries
- Drive ML reliability and observability
- Implement deployment governance and experimentation
- Manage infrastructure as code
- Monitor SLAs and SLOs
- Optimize CPU and GPU cost
- Own CI/CD pipelines
Perks/Benefits
- Annual flu vaccinations
- Gym showers access
- Hybrid work flexibility
- In-office lunch
- Nearmap subscription
- Snacks provided
- Technology allowance
- Wellbeing allowance
- Wellbeing day off
Skills/Tech-stack
Amazon EKS | Argo CD | Arize AI | CI/CD | Confluent | Docker | Evidently | GPU Computing | Generative AI | Google GKE | Grafana | Infrastructure as Code | Kubernetes | LLM | Machine Learning | Prometheus | Python | Ray Serve | Terraform | Weights and Biases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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