Machine Learning Engineer
About the Company:
My client is a premium defence organisation and delivers world class Science and Technology research activities to support Australia and its national interests. This is the ideal position for a Data Scientist who has a strong interest in working with Machine Learning technologies. Applicants must have NV1 Level clearance.
About the role:
The Machine Learning Engineer will be required to work as part of an integrated team spanning ICT professionals and engineers, Researchers, Defence Operators and Analysts. They will work as part of a team designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and demonstrating outcomes and ML based opportunities to the Defence stakeholders.
Skills:
- 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 modelling 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).
- Demonstrated analytical and problem-solving skills.
How to apply
Click APPLY or contact Tyler for a confidential discussion- Tylerd@thenetworkit.com
