We are looking for a highly capable machine learning engineer to modernise our existing platform end help us get to the next level. You will be working with a group of Data Scientists, Cloud Engineers and Data Engineers to evaluate our 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.
To ensure success as a machine learning engineer, you should demonstrate solid experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
The Successful candidate will have:
Consulting with Data Scientists, Data Engineers and team members to determine and refine MLOps platform objectives
Strong Software Development skills, Python skills
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.
If you wish to apply for this position, please submit your resume by clicking the 'Apply Now' button. For further information please contact Urvish Kahar at Clicks IT Recruitment on 02 6202 7755.
At Clicks we embrace diversity, inclusion and equal opportunity.
We provide reasonable adjustments, including alternate formats to the recruitment process for individuals with disability. If you require an adjustment to be made during the recruitment process, please call 1300 254 257 or email adjustments@clicks.com.au
