Cloud ML Engineer – AWS DevOps & MLOps (Hybrid)

Talent; Parramatta; Hybrid; AUD 110,000 - 140,000; Full time

Job summary

Talent is seeking an experienced Machine Learning Engineer focused on AWS, DevOps and AI platform infrastructure in a hybrid NSW role. The position supports cloud-native AI and data science products from PoC to production, emphasizing scalable AWS infrastructure and secure deployment practices.

The role involves building CI/CD pipelines, implementing IaC with Terraform/AWS CDK/CloudFormation, and deploying containerised apps with Docker/Kubernetes (EKS).

Qualifications

• Experience designing, deploying and supporting AWS cloud solutions.
• Strong experience developing and maintaining CI/CD pipelines.
• Hands-on Infrastructure as Code using Terraform, AWS CDK, CloudFormation or equivalents.
• Experience with Docker and Kubernetes, preferably Amazon EKS.
• Experience implementing monitoring, logging and observability for cloud apps.
• Strong troubleshooting skills across complex infra, deployment and operations.
• Ability to collaborate with data scientists, AI engineers, software engineers and stakeholders.

Responsibilities

• 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, app 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.

Skills

AWS cloud solutions

CI/CD pipelines

Infrastructure as Code

Docker

Kubernetes

Monitoring & observability

Troubleshooting

Collaboration

Tools

Terraform

AWS CDK

CloudFormation

Docker

Kubernetes

Amazon EKS

Job description

Talent is seeking an experienced Machine Learning Engineer focused on AWS, DevOps and AI platform infrastructure in a hybrid NSW role. The position supports cloud-native AI and data science products from PoC to production, emphasizing scalable AWS infrastructure and secure deployment practices.

The role involves building CI/CD pipelines, implementing IaC with Terraform/AWS CDK/CloudFormation, and deploying containerised apps with Docker/Kubernetes (EKS).