Machine Learning Engineer - AWS / DevOps / AI Platforms

Machine Learning Engineer - AWS / DevOps / AI Platforms

APS6 equivalent | Federal Government

• 12-month contract + potential 12-month extension

• Hybrid working arrangements

• Australian citizenship required

• Must be able to obtain NV1 security clearance

We're seeking an experienced Machine Learning Engineer to build and support the cloud infrastructure and engineering platforms behind AI, machine learning and data science products.

This role has a strong AWS cloud engineering and DevOps focus. You'll work with multidisciplinary teams to move solutions from proof of concept through to production, supporting generative AI, retrieval-augmented generation (RAG), automation and analytical applications.

What you'll do

• Design, build and maintain AWS infrastructure across development, testing and production environments.

• Automate infrastructure provisioning using Terraform, AWS CDK or CloudFormation.

• Develop CI/CD pipelines covering build, testing, security scanning and deployment.

• Deploy and support containerised applications using Docker, Kubernetes and Amazon EKS.

• Manage cloud networking, IAM, compute, storage, application configuration and secrets.

• Implement monitoring, logging, dashboards and alerting to improve platform reliability.

• Troubleshoot infrastructure, deployment and operational issues, including root cause analysis.

• Support security hardening, vulnerability remediation and cloud governance requirements.

• Contribute to MLOps and LLMOps capabilities for model deployment, evaluation, monitoring and lifecycle management.

• Develop operational runbooks, technical documentation and reusable deployment patterns.

What you'll bring

• Demonstrated experience designing, deploying and supporting AWS cloud solutions.

• Strong experience developing and maintaining CI/CD pipelines.

• Hands-on Infrastructure as Code experience using Terraform, AWS CDK, CloudFormation or equivalent.

• Experience with Docker and Kubernetes, preferably Amazon EKS.

• Experience implementing monitoring, logging and observability for cloud applications and platforms.

• Strong troubleshooting skills across complex infrastructure, deployment and operational environments.

• The ability to collaborate with data scientists, AI engineers, software engineers and business stakeholders.