Senior Machine Learning Engineer
Barangaroo, NSW, Australia
AUD 85K-95K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build LLM platform
- Build scalable batch inference
- Contribute production Python libraries
- Deploy LLM models
- Deploy with ArgoCD
- Design ML infrastructure
- Ensure reliability SLOs SLAs
- Implement ML observability
- Implement model governance
- Implement real time model serving
- Lead technical projects
- Manage Docker tooling
- Optimize CPU GPU costs
- Perform distributed model training
- Run ML experimentation
Perks/Benefits
- Annual flu vaccinations
- Hybrid flexibility
- In-office lunch
- Nearmap subscription
- On-site showers
- Quarterly wellbeing day off
- Stocked kitchen snacks
- Wellbeing YOU days
- Wellbeing and technology allowance
Skills/Tech-stack
AWS | Amazon Elastic Kubernetes Service | ArgoCD | Arize AI | Batch inference | CI/CD | Cost Optimization | Distributed Training | Docker | EKS | Elastic Kubernetes Service | Evidently | GCP | GKE | GPU Computing | Generative AI | Google Kubernetes | Google Kubernetes Engine | Grafana | Infrastructure as Code | Kubernetes | Kubernetes Engine | Kubernetes Service | LLM | Model Serving | Prometheus | Python | Ray Serve | Real Time | Real-time Model Serving | Terraform | Weights and Biases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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