Minimum of 1 Senior Machine Learning Ops Engineer

This Tender is invited by the Issuer. Overview Services Australia is seeking a minimum of 1 Senior Machine Learning Ops Engineer to support the organisation's ML Ops initiatives across NSW, QLD, VIC, WA, SA, NT, ACT and TAS. The Role ML Ops Engineers are involved in setting the overall ML Ops strategy for the organisation as well as the management of complex projects. They will work closely with cross-functional teams including data scientists, engineers and business stakeholders to ensure that ML Ops initiatives are aligned with industry standards and business goals. The role of a Machine Learning Ops Engineer includes: Planning and driving the development of data engineering solutions, ensuring that solutions balance functional and non-functional requirements Monitoring application of data standards and architectures, including security and compliance Contributing to organisational policies, standards and guidelines for data engineering Assessing, given a well-described problem, whether machine learning is likely to provide an effective solution Implementing algorithms and AI developed by Data Scientists Advising on the effectiveness of specific techniques, based on project findings and wider research Contributing to the development, evaluation, monitoring and deployment of machine learning systems Understanding and applying rules and guidelines specific to the industry and anticipating risks and other implications of modelling Leading the assessment, analysis, planning and design of release packages, including assessment of risk Liaising with business and technology teams on release scheduling and communication of progress Conducting post-release reviews Ensuring that release processes and procedures are applied and that releases can be rolled back as needed Identifying, evaluating and managing the adoption of appropriate release and deployment techniques, processes and automation tools Enquiries Buyer contact: ICT.PANEL.DMP@servicesaustralia.gov.au