CSIRO - Data61 (View other jobs from this organisation)
http://www.engineeringcareer.net.au/
Machine Learning Operations Engineer
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CSIRO’s Data61 is the digital technologies and data science arm of Australia’s national science agency. With around 400 staff and another 300 affiliate staff, Data61 represents one of the largest collections of R&D expertise in artificial intelligence, data science, cybersecurity, robotics, and software engineering in the world. With a focus on impact-driven science and technology, Data61 works across disciplines and industry sectors to solve some of the world’s greatest challenges through digital R&D.
This role is for a Machine Learning Operations (MLOps) engineer with a focus on managing the systems required to train and validate machine learning models. The MLOps engineer will work with researchers and software engineers in our Robotics and Autonomous Systems group to create innovative solutions for robotic applications using machine learning.
Location: Pullenvale
Salary: AU$87,000 - AU$98,000 plus up to 15.4% superannuation
Tenure: Indefinite - Full time
Reference: 86144
For full details about this role please view the Position Description
Applications for this position are open to Australian Citizens, New Zealand Citizens and Australian Permanent Residents only.
Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.
We work flexibly at CSIRO, offering a range of options for how, when and where you work.
We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish.
At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact.
Join us and start creating tomorrow today!
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.
Sunday 28th August 2022, 11:00pm AEST