ASD 4, 5 & 6 Artificial Intelligence/ Machine Learning Engineers

Australian Signals Directorate; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Australian Signals Directorate (ASD) in Melbourne, within the Mission Data Division, builds and deploys production AI systems at scale. The AI Engineering team collaborates with data scientists and engineers to advance cutting-edge machine learning capabilities.

The role covers developing and maintaining the Enterprise MLOps Platform, deploying AI models, and leading technical initiatives across ASD teams. Applicants should have strong Python, Docker/Kubernetes, and ML tooling experience.

Qualifications

• Strong Python development skills for production-grade AI systems.
• Experience with containerised environments and ML operations tooling.
• Familiarity with building and maintaining ML pipelines and production workloads.

Responsibilities

• Deploy, monitor, and troubleshoot AI models in production environments.
• Develop and maintain ASD’s in-house Enterprise MLOps Platform.
• Lead engagements with other engineering teams to integrate AI services.
• Review and optimise production ML code and pipelines.

Skills

Python development

Production AI systems

Team leadership

Tools

Docker

Kubernetes

MLFlow

Ray

VLLM Production Stack

NVIDIA Dynamo

GitLab CI/CD

Open-source tooling

Job description

ASD 4, 5 & 6 Artificial Intelligence/ Machine Learning Engineers

Australian Signals Directorate - Melbourne VIC

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.

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.

The key duties of the position include:

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.

Eligibility

To be eligible for employment with ASD, you must meet all of the following eligibility criteria:

• Australian Citizenship - Applicants must be an Australian citizen. Only in exceptional circumstances can this requirement be waivered.
• Organisational Suitability Assessment - The preferred applicant will be required to undergo an Organisational Suitability Assessment (see Organisational Assessment section).
• Security Clearance - It is a condition of employment that applicants are willing and able to obtain and maintain the requisite security clearance for the duration of their employment with ASD.
• Health Assessment - The preferred applicant may be required to undergo a medical examination conducted by the Agency’s preferred medical provider.

Please ensure that you meet the eligibility requirements outlined in this Information Pack prior to submitting an application.

Notes

Experience in one or more of the following areas is highly desirable:

• Strong Python development skills and experience building production-grade applications, APIs, services or reusable engineering components.
• Containerised technologies such as Docker and Kubernetes.
• MLOps tooling such as MLFlow, Ray, the VLLM Production Stack or NVIDIA Dynamo.
• Building DevOps pipelines with GitLab CI/CD or equivalent.
• Inference engineering optimising machine learning workloads with technologies such as Quantisation, Custom Multi-token Processors or Disaggregated Inference.

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