Machine Learning Engineer - AWS / DevOps / AI Platforms in Parramatta

Machine Learning Engineer - AWS / DevOps / AI Platforms in Parramatta

Parramatta Temporary 90000 - 110000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and maintain AWS infrastructure for AI and machine learning products.
  • Company: Join a dynamic federal government team focused on innovative tech solutions.
  • Benefits: 12-month contract with potential extension, hybrid work, and security clearance support.
  • Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
  • Why this job: Be at the forefront of AI technology and make a real impact in cloud engineering.
  • Qualifications: Experience with AWS, CI/CD pipelines, and containerisation tools like Docker and Kubernetes.

The predicted salary is between 90000 - 110000 $ per year.

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

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 Dev Ops 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.

What you'll do

  • Machine Learning Engineer - AWS / Dev Ops / AI Platforms
  • APS6 equivalent | Federal Government
  • 12-month contract + potential 12-month extension
  • Hybrid working arrangements
  • Australian citizenship required
  • Must be able to obtain NV1 security clearance

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 Dev Ops 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.

What you'll do

  • Design, build and maintain AWS infrastructure across development, testing and production environments.
  • Automate infrastructure provisioning using Terraform, AWS CDK or Cloud Formation.
  • 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.
  • What you'll bring
  • 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, Cloud Formation 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.
  • Highly regarded
  • 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.
  • 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.

  • Desired Skills and Experience
  • Amazon Web Services (AWS)
  • CI/CD
  • Terraform
  • AWS CDK / Cloud Formation
  • Docker
  • Kubernetes / Amazon EKS
  • Monitoring & Observability
  • Cloud Security & IAM
  • MLOps / LLMOps
  • Amazon Bedrock
  • Generative AI / RAG

Machine Learning Engineer - AWS / DevOps / AI Platforms in Parramatta employer: Talent

As a Defence Cyber Security Assessor, you will join a dynamic team dedicated to safeguarding critical technology environments. Our Canberra office fosters a collaborative work culture that prioritises employee growth through continuous learning and professional development opportunities. With a strong commitment to work-life balance and a focus on meaningful contributions to national security, we offer an exceptional environment for those looking to make a real impact in the field of cyber security.

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Contact Details:

Talent Recruitment Team

We think you need these skills to ace Machine Learning Engineer - AWS / DevOps / AI Platforms in Parramatta

AWS Cloud Solutions
CI/CD Pipeline Development
Infrastructure as Code (Terraform, AWS CDK, CloudFormation)
Docker
Kubernetes
Amazon EKS
Monitoring and Observability