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Machine Learning Engineer with NV1 Clearance — Melbourne, Melbourne Region
Expired

Security clearance: Must have Negative Vetting Level 1 Client Details Our client is a high profile within Government Department. Description Activities and Deliverable: The Machine Learning Engineers will work in the design and development of Defence focused machine learning and deep learning systems, running machine learning tests and experiments while developing and implementing appropriate ML algorithms. This will encompass: Study and transformation of data science prototypes; Design of machine learning systems. Development of machine learning applications according to requirements; Selection of appropriate datasets and data representation methods; Performance of statistical analysis and fine-tuning using test results; Executing train and retrain systems as necessary and extend existing internal ML libraries and frameworks. Key required technical skills and experience include: Experience in software development & machine learning. Experience in the use of machine learning methods on multi-GPU platforms. Extensive Linux knowledge. Ability to communicate effectively and tailor presentation style and messaging to be relevant to a range of audience level of knowledge, skills and experience. Sound interpersonal skills including the ability to work as a productive member of a team and communicate effectively with colleagues and clients across multiple organisational levels. Effective written and verbal communication skills. Respond strongly and positively to challenging work and deadlines. Profile Experience in software development & machine learning. Experience in ML algorithms Experience in the use of machine learning methods on multi-GPU platforms. Extensive Linux knowledge. Job Offer Salary - As per market rates. Multiple ongoing roles are available Paid training, ongoing development and genuine progression opportunities. If you are interested in learning more about the role please contact me at adecco.com.au

Applications close Sunday, 19 November 2023
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