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

Description

About 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 the 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.

Our Ideal Candidate

We are seeking applicants who:

• Are passionate about operational machine learning systems and its potential to contribute to ASD's mission.
• Are passionate about applying software engineering and DevOps practices to management of machine learning systems.
• Have an understanding of machine learning concepts and algorithms.
• Have the ability to learn new technologies quickly.
• Have the ability to think critically and solve problems.
• Are able to communicate with both technical and non-technical people.
• Are motivated to learn and develop their skills.

Application Closing Date: Sunday, 5 May 2024

For further information please review the job information pack, reference ASD/02502/24 on