Machine Learning Engineer - AWS / DevOps / AI Platforms

Project overview

Machine Learning Engineer - AWS / DevOps / AI Platforms

APS6 equivalent | Federal Government

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.

• 12-month contract + potential 12-month extension
• Hybrid working arrangements
• Australian citizenship required
• Must be able to obtain NV1 security clearance

Responsibilities

What you'll bring

Highly regarded

Eligibility and working arrangements

Applicants must be Australian citizens and able to obtain Negative Vetting Level 1 (NV1) security clearance. Evidence of citizenship will be required during pre-engagement checks.

Hybrid working arrangements are available.

To apply, please submit your CV highlighting your AWS, DevOps and platform engineering experience.

• 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.
• 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.
• Experience supporting AI, machine learning or data science platforms.
• Knowledge of MLOps, LLMOps, model deployment and monitoring.
• Familiarity with Amazon Bedrock, generative AI or RAG solutions.
• Experience with cloud security controls, IAM, secrets management and compliance automation.

Project details

• Start: ASAP
• Duration: 12/24 Months
• Remote: hybrid
• Location: Parramatta
• Rate: 75-113 EUR/h