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AI Engineer

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Onsite

AI Engineer

M&T Resources

AI Engineer

Skills

PythonDevOpsCybersecurityMachine LearningAIAWSAnsibleKubernetesComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Melbourne VIC, Australia

Work mode:

Onsite

Published on:

1 October 2026

What they need


AI Cloud Engineer

Our Federal Government client is seeking an experienced AI Cloud Engineer  to support the delivery of complex AI and cloud-based solutions within a large-scale technology environment. This role offers the opportunity to work on cutting-edge AI, cloud, and platform engineering initiatives, helping establish and enhance foundational AI capabilities that support critical services delivered to millions of Australians.

Key Responsibilities

  • Design and develop scalable AI and cloud platform solutions
  • Build and maintain AI/ML environments across cloud, on-premises and hybrid platforms
  • Develop and support Kubernetes-based AI workloads and infrastructure.
  • Implement Infrastructure as Code (IaC) and DevOps practices
  • Collaborate with architects, cyber security specialists, data scientists and engineering teams.
  • Deliver secure-by-design solutions aligned with government standards and compliance requirements.
  • Support AI model deployment, monitoring, optimisation and operational management.
  • Contribute to platform governance, automation and continuous improvement initiatives.

Key Skills & Experience

  • Strong experience as an AI Engineer, AI Cloud Engineer, MLOps Engineer or Platform Engineer
  • Hands-on experience with Kubernetes, OpenShift and container technologies
  • Experience building and supporting AI/ML platforms and workloads
  • Knowledge of LLMs, Generative AI, RAG solutions, embeddings and vector databases
  • Experience with AWS and/or Azure cloud platforms
  • Strong Python development and automation skills
  • Experience with Terraform, Ansible, GitOps, ArgoCD or similar DevOps technologies
  • Knowledge of DevSecOps, security controls and compliance requirements
  • Experience with CI/CD pipelines and modern software engineering practices

Desirable Experience

  • Kubeflow, MLflow, SageMaker or Azure ML
  • AI model serving platforms such as vLLM or TGI
  • Federal Government or highly regulated environments
  • AI platform engineering and cloud migration projects

Eligibility Applicants must be Australian Citizens and be able to obtain a Baseline Security Clearance.

If you're passionate about AI, cloud engineering and delivering enterprise-scale solutions, we'd love to hear from you. Apply now or contact me for a confidential discussion.

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