About the job
Easygo is looking for its first Senior Machine Learning Operations Engineer (MLOps) to join the Data Science team in Melbourne, Australia. This position centers on building and maintaining scalable machine learning pipelines that support the company’s business goals.
Collaboration and approach
This role partners closely with data scientists and engineers to move machine learning projects forward. The team values hands-on problem-solving and open collaboration to deliver dependable ML systems.
Main responsibilities
- Design, implement, and maintain end-to-end machine learning infrastructure, including development, deployment, and production monitoring.
- Manage cloud infrastructure and architecture for large-scale ML workloads, with a focus on Infrastructure as Code (primarily Terraform).
- Build and maintain CI/CD pipelines to support model integration, deployment, and continuous delivery.
- Develop and improve monitoring, alerting, and logging systems to ensure operational reliability.

