12 + 24 month contract - Flexible work arrangements
Baseline Security Clearance - Tuggeranong, ACT
Greenfield and brownfield AI/ML environments
On-premise, public cloud and hybrid platforms.

Our client, a Federal Government department based in Tuggeranong, ACT, that delivers social, health, and child support programs, requires the services of a Senior AI/ML Engineer for a 12 + 24 month contract.

Duties of the Senior AI/ML Engineer:

Identify the appropriate end-to-end solution portfolio.
Identify solution gaps and develop gap closure options.
Solution the end-to-end functional landscape and solution design.
Design robust and reusable products and features to support the deployment of greenfield and brownfield platforms in either on-premise or public cloud.
Design, build and maintain secure, scalable and highly available cloud infrastructure supporting AI, ML and Generative AI services.
Lead the implementation, configuration and optimisation of enterprise AI solutions, ensuring performance, resilience and operational excellence.
Identify cross-process and cross-solution integration points and lead the coordination across various software and service components of the end-to-end solution.
Lead end-to-end solution analysis, design, integration, co-existence and migration.
Ensure AI platforms/solutions comply with organisational security, governance and regulatory requirements through the application of DevSecOps and secure-by-design principles.

Skills and Experience - Senior AI/ML Engineer :

Experience in containers and platform engineering, including Docker/Podman.
Linux administration, networking and storage, including DNS, TLS, proxies, load balancing etc.
DevOps, CI/CD and Infrastructure as Code, including Git, GitLab/GitHub/Azure DevOps, Tekton, GitOps/Argo CD, Terraform and/or Ansible, and automated build, test and deployment pipelines.
Python and scripting for automation, AI/ML integration, APIs, platform tooling and operational support.
AI/ML engineering and MLOps.
LLM and Generative AI tooling.
GPU engineering, including NVIDIA GPUs, CUDA fundamentals etc.
APIs and enterprise integration, including REST APIs, authentication, OAuth/OIDC, API gateways etc.
Cloud platforms and cloud AI services, including practical experience in at least one of AWS, or Azure, and preferably two, with exposure to SageMakero r Azure AI/ML.
Object storage and data management.
Observability and operational monitoring.
Security, governance and compliance.
Applying FinOps practices, architecture principles and enterprise technologies.

How to Apply

For a copy of the full job description, including the application instructions, please get in touch with Andy at Recruitment Hive by clicking the Quick Apply button. Alternatively, you can reach Andy on (02) 6299 1006 to discuss further.

Please note that applications close at 11am on Friday the 23rd of October 2026. Recruitment Hive welcome late applications to be considered for future opportunities.

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.

Job ID: AE 679925 | LH-08005