Machine Learning Operation Engineer

Ignite are looking to hear from experienced MLOps Engineer for one of our government clients.

Reference Number: 366261
Citizenship requirements: Australian citizen - preferred with Baseline clearance
Location: Canberra, Melbourne CBD, Box Hill, Dandenong, Moonee Ponds, Sydney, Penrith, Parramatta, Brisbane CBD, Adelaide, Perth

We are looking for a highly capable machine learning engineer to modernise the client's existing platform and help them get to the next level. You will be working with a group of Data Scientists, Cloud Engineers, and Data Engineers to evaluate their current machine learning (ML) processes and requirements and assisting in the build of a new contemporary platform to enhance the deployment or artifacts related to predictive automation capabilities.

Required Skills/Experience:
  • Excellent understanding of ML Models lifecycle
  • Excellent understanding of MLOps
  • Minimum 4 years building Machine Learning platforms and a balance interest in Machine Learning infrastructure and data products.
  • Excellent knowledge of ML technologies and contemporary trends
  • Good experience with Feature engineering
  • Passion for building large platforms with elegant interfaces that can scale easily
  • Strong Software Development skills, Python skills
  • Understanding of cloud developments principles and patterns, particularly loosely coupled architectures and containerisation.
  • Experience or good familiarity with the following technologies: MLFlow, DVC, Kubeflow, Kubernetes, Docker, Kafka, Jupyter Notebook, JupyterHub, Pytest, Git, FEAST or similar, Seldon Core, Spark
  • Experience deploying cloud infrastructure using Terraform, Ansible, Gitlab would be a plus.
  • Experience working with different data structures, data types and data speeds.
  • Experience working with relational and non-relational data stores

If this role is of interest to you, please APPLY NOW, or contact Sarah Plamio on 02 6113 7537 or via email on

Canberra (Canberra)
I.T. & T