At a Glance
- Tasks: Design and maintain AWS infrastructure for AI and machine learning projects.
- Company: Join a dynamic federal government team focused on innovative tech solutions.
- Benefits: 12-month contract with potential extension, hybrid work options, and career growth.
- Other info: Must be an Australian citizen and able to obtain NV1 security clearance.
- Why this job: Be at the forefront of AI technology and make a real impact in the field.
- Qualifications: Experience with AWS, CI/CD pipelines, and cloud infrastructure is essential.
The predicted salary is between 75600 - 92400 $ 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 DevOps 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 CloudFormation.
- 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, CloudFormation 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.
Machine Learning Engineer in Parramatta employer: Talent International
At Talent International, we pride ourselves on being an exceptional employer within the higher education sector, offering a dynamic work environment that fosters critical thinking and innovation. Our commitment to employee growth is evident through our supportive culture, where you will have the opportunity to engage with diverse stakeholders and tackle complex business challenges. With a focus on collaboration and professional development, we ensure that our team members are equipped to thrive in their roles while making a meaningful impact in the education landscape.
