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 Machine Learning Operations (MLOps) team in MD builds and deploys machine learning systems at scale. They work with data scientists and other engineers to bring cutting-edge machine learning projects to production.

As an EL1 ML Engineer at ASD, you can expect to:

• Design, develop, and oversee the production of MLOps platforms tailored for ASD.
• Implement, monitor, and resolve issues related to machine learning models in operational settings.
• Create and execute MLOps pipelines for the deployment of machine learning models into production.
• Work with fellow engineers to facilitate seamless integration into enterprise software while remaining informed about the latest advancements in machine learning technologies and best practices.
• Articulate ideas effectively to both technical and non-technical stakeholders.
• Persuade and engage stakeholders to foster the successful development and integration of machine learning systems and tools.
• Offer technical guidance and mentorship to junior engineers in planning, designing, documenting, prototyping, and constructing intricate machine learning systems and tools.
• Lead a team of ML Engineers, and recognise opportunities for learning among team members and empower them through task delegation.
• Lead the scoping, specification, and accreditation processes for machine learning engineering initiatives.
• Solicit and manage technical requirements on an ongoing basis.
• Collaborate with technical leadership at both Branch and Divisional levels to ensure alignment of the machine learning engineering program with architectural and technical strategies.

Further information can be found at: I'm changing my career | Australian Signals Directorate (https://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:

We are seeking applicants who:

• Have a proven track record of delivery for operational machine learning systems and their capacity to advance ASD's objectives.
• Demonstrated experience in integrating software engineering and DevOps methodologies into the management of machine learning systems.
• Possess a solid comprehension of machine learning principles and algorithms.
• Show a rapid aptitude for acquiring new technological skills.
• Exhibit critical thinking abilities and problem-solving skills.
• Capable of engaging with both technical and non-technical audiences effectively.
• Display a strong motivation for continuous learning and skill enhancement.
• Use technical engineering expertise and experience effectively.
• Execute intricate and essential engineering tasks proficiently.
• Offer expert guidance in the domain of machine learning engineering.

Eligibility

• 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.

Desirable Qualifications, Experience or Training

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

• Software development with Python.
• MLOps tooling such as MLFlow, Ray, Kubeflow, Kserve, or an enterprise scale machine learning platform.
• Building DevOps pipelines with GitLab CI/CD or equivalent.
• Kubernetes, Docker.
• Data curation, engineering, and wrangling.
• Optimisation of machine learning models for enterprise inferencing.

RecruitAbility applies to this vacancy. Under the RecruitAbility scheme you will be invited to participate in further assessment activity for the vacancy if you choose to apply under the scheme; declare you have a disability; and meet the minimum requirements for the job. For more information visit: https://www.apsc.gov.au/recruitability. This initiative/program is only applicable where the successful applicant will be employed under the Public Service Act 1999. Similar conditions may apply when employed under other Acts. For clarification please contact the advertising agency.