Address- NV1 Clearance minimum – Opportunity to upgrade to NV2
- You can be located in Canberra, Adelaide or Melbourne
- 12 month initial contract + 2 x 12 month extensions
- Have knowledge and understanding of DevSecOps and AI/ML system stacks
As an experienced Machine Learning Ops Engineer, you will have demonstrated skills in development and management of Machine Learning and Data Engineering pipelines and tools. You will have with deep knowledge and understanding of DevSecOps and AI/ML system stacks within physical, virtualised or containerised platform environments, encompassing automation tooling and components.
There is a strong emphasis is placed upon on cyber security principles, within on-premise and Public Cloud domains.
General requirements of the position include:
- Have sound interpersonal skills, including the ability to work productively and collaboratively as a member of a team;
- Have the ability to develop strong working relationships across multiple business areas and recommend or co-ordinate efforts to deliver fit-for-purpose and timely outcomes;
- Contribute positively to the outcomes of highly functional teams;
- Ideally have experience collaborating and effectively contributing to the outcomes of Agile development teams.
Technical Skills required include:
- Ability to engage with research community members, identify requirements and develop fit-for-purpose Machine Learning and data science based solutions
- Solid understanding of Machine Learning and Data Engineering principles, with focus upon development of Machine Learning and deep learning capability systems.
- Ability to deploy, manage and optimise Machine Learning and Data models within research environments
- Proven experience or exposure enabling Machine Learning operations to enhance efficiency in operations within secure pipeline development environments
For more information and to apply, please contact Deep Ahluwalia on 0413 109 *** or email ***************@talentinternational.com
