ML Engineer — AWS, MLOps & Cloud Infra (Hybrid)

Compas; Canberra; Hybrid; AUD 130.000 - 170.000; Vollzeit

Zusammenfassung

Compas is seeking a skilled Machine Learning Engineer to join a major Australian Government environment in Canberra. Hybrid arrangement with negotiation on policy.

You will design, deploy and maintain AWS-based cloud infrastructure and CI/CD pipelines, leveraging Terraform, AWS CDK/CloudFormation, Docker, Kubernetes and EKS to support MLOps and RAG solutions. The role requires hands-on experience with cloud monitoring and observability, and current NV1 clearance.

Qualifikationen

• Design, deploy and maintain AWS cloud infrastructure and IaC solutions.
• Develop and maintain CI/CD pipelines for secure deployments.
• Hands-on with Docker, Kubernetes and EKS for containerised apps.
• Experience with MLOps/LLMOps or Bedrock is desirable.

Aufgaben

• Design, build and maintain AWS cloud infrastructure and IaC.
• Develop/maintain CI/CD pipelines and automate builds, tests and deployments.
• Deploy and support containerised apps using Docker, Kubernetes, EKS.
• Support MLOps/LLMOps and RAG capabilities in production.

Kenntnisse

AWS infra design

CI/CD pipelines

MLOps

LLMOps

RAG solutions

Tools

Terraform

AWS CDK

CloudFormation

Docker

Kubernetes

Amazon EKS

Jobbeschreibung

Compas is seeking a skilled Machine Learning Engineer to join a major Australian Government environment in Canberra. Hybrid arrangement with negotiation on policy.

You will design, deploy and maintain AWS-based cloud infrastructure and CI/CD pipelines, leveraging Terraform, AWS CDK/CloudFormation, Docker, Kubernetes and EKS to support MLOps and RAG solutions. The role requires hands-on experience with cloud monitoring and observability, and current NV1 clearance.