Machine Learning Engineer with NV1 clearance - Canberra - 12 months+ - Experience in software development & machine learning.
- Experience in the use of machine learning methods on multi-GPU platforms.
- Extensive Linux knowledge.
- Experience in the use and development of machine learning methods at scale within standalone or multi-GPU and multi-node configurations.
- Experience in MLOps and ModelOps software and associated engineering practices.
- Experience with best practice development methodologies and practices such as Agile, DevOps, and Configuration-As-Code.
- Understanding of data structures, data modeling and software architecture.
- Knowledge of math, probability, statistics and algorithms as applicable to the ML context.
- Ability to write code in Python, Java or R.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
- Previous experience within the Defence environment.
- Familiarity with Defence IT security policies and concepts.
- Demonstrated analytical and problem-solving skills
- Australian Citizen with NV1 security clearance
- Canberra work location
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