Machine Learning Engineer (MLOps, AWS)

A large Commonwealth agency's Data Science Hub is looking for an APS6-level Machine Learning Engineer to design, automate and support the cloud platforms that underpin its AI, machine learning and data science products, including generative AI and retrieval-augmented generation solutions. You will help move solutions from proof of concept to production inside multidisciplinary delivery squads. 12-month initial contract plus a 12-month extension, starting December 2026. Hybrid, with offices in Brisbane, Sydney, Canberra, Melbourne, Geelong and Adelaide.

Key Responsibilities

• Design, build and maintain AWS infrastructure for AI, ML and data science workloads using Terraform, AWS CDK or CloudFormation
• Build CI/CD pipelines that automate build, test, security scanning and deployment of models, APIs and data products
• Deploy and operate containerised services on Docker, Kubernetes and Amazon EKS
• Implement monitoring, logging and observability for platform health and reliability
• Contribute to MLOps and LLMOps capabilities for model deployment, evaluation and lifecycle management

Requirements

• Demonstrated experience designing, deploying and supporting solutions on AWS
• Experience building and maintaining CI/CD pipelines and Infrastructure as Code
• Hands-on Docker and Kubernetes experience, ideally Amazon EKS
• Ability to troubleshoot complex infrastructure and deployment issues
• MLOps/LLMOps or Amazon Bedrock experience is highly desirable
• Australian citizen, able to obtain an NV1 security clearance

What's on Offer

• Work on production generative AI and RAG solutions
• 12 + 12 month engagement
• Hybrid working across multiple capital-city offices