Machine Learning Operations Engineer
We are seeking a highly skilled Machine Learning Operations (MLOps) professional to join our team. The ideal candidate will have experience with all parts of the MLOps lifecycle, including registration, deployment, and monitoring of operation capabilities.
Key Responsibilities:
* Design and develop production MLOps platforms specific to ASD.
* Deploy, monitor, and troubleshoot ML models in production environments.
* Design and implement MLOps pipelines for deploying ML models to production.
* Review and optimize production ML code.
* Work with open-source technology and modern computing infrastructure.
* Collaborate with other engineers to ensure successful integration into enterprise software.
* Work with data scientists to ensure that ML models are well tested and reliable.
Requirements:
* Strong software engineering or data engineering expertise.
* Experience with contemporary Machine Learning practices and technologies.
* Experience with MLOps tooling such as MLFlow, Ray, KubeFlow, Kserve or an enterprise ML platform.
* Knowledge of DevOps pipelines with GitLab CI/CD or equivalent.
* Knowledge of Kubernetes and Docker.
* Experience with data engineering and data wrangling.
* Optimization of model for production inference.
This is a fantastic opportunity to work on interesting and prestigious projects vital to the ongoing defence of Australia.