Machine Learning Engineer

We are looking for an experienced MLOps Engineer to join an innovative insurance technology team in Sydney. You will play a key role in scaling and maintaining their machine learning platforms. As well as delivering reliable, secure, and efficient deployment of AI solutions across claims, risk, and customer analytics.

Key Responsibilities

• Design, build, and maintain end-to-end ML pipelines on AWS
• Collaborate with data scientists to deploy models into production
• Implement CI/CD workflows for ML models
• Monitor and manage model performance
• Drive automation and best practices for ML infrastructure

Tech Stack

• AWS Services: SageMaker, S3, ECS/EKS, Lambda, CloudFormation/Terraform
• Python, SQL, Git
• MLflow, Airflow, Kubeflow
• Docker, Kubernetes, Jenkins.

Requirements

• Proven experience in MLOps or ML Engineering using AWS
• Strong knowledge of model deployment, monitoring, and scaling in production
• Experienced with infrastructure-as-code and containerized environments

Get in touch if this opportunity sounds like a fit for your experience!