AWS AI/ML Engineer
Summary
Contract AWS AI/ML Engineer for an Australian federal government agency (NDIS) — designing, building and maintaining AWS cloud infrastructure for AI/ML and data science workloads using Terraform/CDK, CI/CD pipelines, Docker/Kubernetes/EKS, with generative AI (Bedrock, RAG) exposure. 12+12 month contract at $135-155/hr incl. super.
Salary: $135 - $155ph (inc-Super) - weekly pay options
- 12+12 month contract - 37.5hrs per week
- QLD, ACT, VIC, NSW & SA
- Design, build & maintain AWS cloud infrastructure for AI/ML
Our client, an independent Federal Government agency responsible for implementing and administering the National Disability Insurance Scheme, require the services of a AWS AI/ML Engineer.
Key Duties of the AWS AI/ML Engineer
- Design, build & maintain AWS cloud infrastructure for AI, machine learning, software engineering & data science workloads;
- Implement & manage Infrastructure as Code using Terraform, AWS CDK, CloudFormation or similar tools;
- Provision & maintain cloud environments for development, testing, pilots & production-ready solutions;
- Support cloud networking, IAM, storage, compute & security services for products;
- Design, develop & maintain CI/CD pipelines to automate build, test, security scanning & deployment activities;
- Automate deployment of APIs, web applications, AI services, machine learning models & data products;
- Deploy, manage & support containerised applications using Docker, Kubernetes & Amazon EKS;
- Configure & maintain deployment environments for generative AI, machine learning & analytical products.
Skills and Experience Required
- Demonstrated experience designing, deploying & supporting cloud-based solutions using Amazon Web Services (AWS);
- Demonstrated experience developing & maintaining CI/CD pipelines to build, test & reliably deploy applications & services;
- Experience implementing Infrastructure as Code using Terraform, AWS CDK, CloudFormation or equivalent;
- Experience with containerisation & orchestration technologies, including Docker & Kubernetes, preferably Amazon EKS;
- Experience implementing monitoring, logging & observability solutions for cloud-based applications & platforms;
- Experience supporting machine learning, artificial intelligence or data science platforms (desired);
- Experience with MLOps, LLMOps or AI model deployment & monitoring practices (desired);
- Familiarity with Amazon Bedrock & deploying generative AI or retrieval-augmented generation (RAG) solutions (desired);
- Experience implementing cloud security controls, identity & access management, secrets management & compliance automation (desired).
How to Apply
For a copy of the full job description, including the application instructions, please get in touch with Ben at Recruitment Hive by clicking the Quick Apply button. Alternatively you can reach Ben on (02) 6299 1006 to discuss further.
Please note that applications close on Wednesday the 11th of November 2026 at 11am.
Recruitment Hive welcome late applications to be considered for future opportunities.
Job ID: BC680670 | LH-08406
We Value Diversity
The Recruitment Hive is a proud Equal Opportunity Employer. We recognise the value of diverse perspectives and experience and are committed to an inclusive workplace where everyone feels valued and respected for who they are. We encourage people with disability, indigenous, veterans and people of all backgrounds and abilities to express their interest in this role.

