Platform Engineer / Operations Engineer - (ML / AI)
AUD 75K-85K (estimate) Senior-level Full Time
Tasks
- Build LLM platform for generative AI products
- Contribute production Python services and libraries
- Create CI CD pipelines for AI engineering
- Deploy and operate real time model serving
- Design and build scalable ML infrastructure
- Drive ML reliability and observability
- Implement infrastructure-as-code
- Lead platform engineering projects
- Manage GitOps deployments with ArgoCD
- Monitor and optimize CPU GPU costs
Perks/Benefits
- Additional annual YOU days
- Annual flu vaccinations
- Cycling showers access
- Hybrid flexibility
- In-office lunch
- Lunchtime gym access
- Nearmap subscription
- Stocked kitchen snacks
- Wellbeing and technology allowance
- Wellbeing day off
Skills/Tech-stack
API Development | Amazon Web Services | ArgoCD | Arize AI | Batch inference | CI/CD | Cloud platform | Confluent | Distributed Training | Docker | EKS | GKE | GPU Computing | Generative AI | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Kubernetes | LLM | Prometheus | Python | Ray Serve | SLAs | SLOs | Terraform | Web Services | Weights and Biases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Engineer | MLOps Engineer | Operations | Operations Engineer | Platform | Platform Engineer
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