Senior Machine Learning Engineer (Platform / MLOPs)

📋 Description

• Own end-to-end platform projects for scalable ML infrastructure
• Build large-scale batch inference on EKS, real-time model serving via Ray Serve
• Develop GPU-accelerated distributed training on AWS/GCP
• Deploy, govern, experiment, and optimize cost for LLM platform
• Improve CI/CD, Docker tooling, ArgoCD, and developer UX for AI/CV teams
• Ensure reliability with SLAs/SLOs and production-ready Python libraries

🎯 Requirements

• Production Kubernetes platforms (EKS/GKE) at scale
• High-scale, high-concurrency API development in production
• Operational mindset with SLAs/SLOs and incident responsiveness
• Strong DevOps: CI/CD, IaC, deployment pipelines
• Production-level Python services and libraries

🎁 Benefits

• Wellbeing days, technology allowance, and health benefits
• Hybrid/work flexibility, Nearmap subscription, snacks, and gym showers
• In-office lunches Tue/Thu in Sydney CBD
• Supportive culture for crafting impactful AI systems