Senior Machine Learning Engineer (Platform / MLOPs)
Barangaroo, NSW, Australia
R
AUD 132K-180K (estimate) Senior-level Full Time
Tasks
- Build LLM platform for deployment and governance
- Contribute Python services and libraries
- Design and build scalable ML infrastructure
- Develop CI CD pipelines and Docker tooling
- Ensure production reliability with SLAs and SLOs
- Implement batch inference pipelines
- Implement real time model serving
- Improve observability for production ML systems
- Manage experimentation and cost optimization
- Operate Kubernetes based platforms at scale
- Own end to end ML platform projects
- Provide technical leadership for platform projects
- Serve and support ML tooling for developer teams
Perks/Benefits
- Annual flu vaccinations
- Gym access
- Hybrid flexibility
- In-office lunch
- Nearmap subscription
- Showers for cyclists
- Stocked kitchen snacks
- Wellbeing and technology allowance
- Wellbeing day off
Skills/Tech-stack
API Development | AWS | Amazon EKS | ArgoCD | Arize AI | Batch inference | CI/CD | Cloud platform | Distributed Training | Docker | Evidently | GPU Computing | Generative AI | Google Cloud | Google Cloud Platform | Google GKE | Grafana | Infrastructure as Code | Kubernetes | LLM | MLOps | Machine Learning | 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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