ASD6 & EL1 Machine Learning Engineer - Canberra, Australia - Australian Signals Directorate

    Australian Signals Directorate
    Australian Signals Directorate Canberra, Australia

    1 week ago

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    Description
    • $93,606.96 – $184, plus 15.4% super)
    • Canberra - ACT,Melbourne CBD - VIC

    The Role
    As an MLOps Engineer at ASD, you can expect to:

    • Design, develop and maintain production MLOps platforms specific to ASD.
    • Deploy, monitor and troubleshoot machine-learning models in production environments.
    • Design and implement MLOps pipelines for deploying machine-learning models to production.
    • Review and optimise production machine-learning code.
    • Work with open-source technology and modern computing infrastructure.
    • Work with other engineers to ensure successful integration into enterprise software.
    • Work with data scientists to ensure that machine-learning models are well-tested and reliable.
    • Stay up-to-date on the latest machine learning technologies and best practices.
    As an ASD6 / EL1 you will be expected to:
    • Negotiate and influence stakeholders to support successful development, deployment and integration of ML systems and tools.
    • Provide technical leadership and mentorship to junior engineers to plan, design, document, prototype and build complex ML systems and tools.
    • Communicate confidently and clearly with technical and non-technical audiences.
    About our Team
    Mission Data Division (MD DIV) within 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. All roles within MD require extensive knowledge of and compliance with legislative frameworks, government decision-making and Defence's mission and policies requirements.

    Machine Learning Operations (ML Ops) team within MD DIV build and deploy machine-learning systems at scale. They work with data scientists and other engineers to bring cutting-edge machine learning projects to production.