The Opportunity

Mission Data (MD) Division within the Australian Signals Directorate (ASD) is responsible for providing the foundational data capabilities to support all of ASD’s functions. We do this via the provision of data platforms and services, management of ASD’s mission data, and providing complex analytic development and support, including Artificial Intelligence and Machine Learning capabilities. 

The AI Engineering team in MD builds and deploys production AI systems at scale. They work with data scientists and other engineers to develop cutting-edge machine learning systems.

Key Duties:

ASD 4 & 5 

• Under direction deploy, monitor, and troubleshoot AI models.
• Under direction develop and maintain ASD’s in-house Enterprise MLOps Platform.
• Provide support to a range of users including assisting other engineers to integrate with our services.
•  Work with data scientists developing ML models to ensure they are sufficiently performant and stable for production.

ASD 6 

• Independently deploy, monitor, and troubleshoot AI models.
• Independently develop and maintain ASD’s in-house Enterprise MLOps Platform.
• Lead team lines of effort including the design of technical systems and supervision of junior staff.
• Lead engagements with other engineering teams seeking to integrate with our enterprise AI services.
• Review and optimise production ML code. 

Further information can be found at: I’m changing my career | Australian Signals Directorate (asd.gov.au).

ASD is seeking applicants to fill current and anticipated vacancies and to create a merit pool for future vacancies. In line with the Australian Public Service Commissioner’s Direction 2022, upon completion of the recruitment activity, the merit pool will be available to locations across Australia. 

Ideal Candidate

Our ideal candidate can:

• Communicate confidently and clearly with technical and non-technical audiences.
• Rapidly familiarise themselves with complex technical environments.
• Perform critical and complex engineering activities on production systems under time pressure.
• Effectively design, assess and prototype technical solutions using a mix of open-source and in-house technology stacks.
• Concurrently manage multiple support tasks with dynamic priorities.

The Opportunity

Mission Data (MD) Division within the Australian Signals Directorate (ASD) is responsible for providing the foundational data capabilities to support all of ASD’s functions. We do this via the provision of data platforms and services, management of ASD’s mission data, and providing complex analytic development and support, including Artificial Intelligence and Machine Learning capabilities. 

The AI Engineering team in MD builds and deploys production AI systems at scale. They work with data scientists and other engineers to develop cutting-edge machine learning systems.

Key Duties:

ASD 4 & 5 

• Under direction deploy, monitor, and troubleshoot AI models.
• Under direction develop and maintain ASD’s in-house Enterprise MLOps Platform.
• Provide support to a range of users including assisting other engineers to integrate with our services.
•  Work with data scientists developing ML models to ensure they are sufficiently performant and stable for production.

ASD 6 

• Independently deploy, monitor, and troubleshoot AI models.
• Independently develop and maintain ASD’s in-house Enterprise MLOps Platform.
• Lead team lines of effort including the design of technical systems and supervision of junior staff.
• Lead engagements with other engineering teams seeking to integrate with our enterprise AI services.
• Review and optimise production ML code. 

Further information can be found at: I’m changing my career | Australian Signals Directorate (asd.gov.au).

ASD is seeking applicants to fill current and anticipated vacancies and to create a merit pool for future vacancies. In line with the Australian Public Service Commissioner’s Direction 2022, upon completion of the recruitment activity, the merit pool will be available to locations across Australia. 

Ideal Candidate

Our ideal candidate can:

• Communicate confidently and clearly with technical and non-technical audiences.
• Rapidly familiarise themselves with complex technical environments.
• Perform critical and complex engineering activities on production systems under time pressure.
• Effectively design, assess and prototype technical solutions using a mix of open-source and in-house technology stacks.
• Concurrently manage multiple support tasks with dynamic priorities.