The opportunityASIO is seeking to fill Data Scientist (Artificial Intelligence) positions in Canberra (preferred), Sydney, Melbourne or Adelaide locations.A merit pool may be created to fill future vacancies which have the same or similar requirements to this position. This merit pool will be valid for up to 18 months.Role responsibilitiesAs a Data Scientist (Artificial Intelligence) you will:Join a team of highly experienced data scientists and engineers responsible for evaluating, developing, integrating and deploying leading edge artificial intelligence services and products in support of ASIO's mission.Work in a computing rich environment, including dedicated GPU infrastructure, to drive innovation.Effectively communicate technical concepts to diverse audiences, bridging the gap between complex AI ideas and their practical applications in support of ASIO's objectives.What you will bringThe Role Description above provides a general overview of the role. Depending on the level of position you wish to apply for, the required skills will vary.For AE5 roles we invite applications from people with the following attributes:Technology skills.Some relevant experience related to the required skills listed below.An aptitude and desire to learn.AE6 applicants should show skills and experience across many of the following while AEE1 candidates should be able to demonstrate well-developed skills and experience that meet all of the following required criteria:Required SkillsA conceptual understanding and experience with machine learning models.The ability to critically evaluate model outputs and clearly articulate model risks and opportunities to ASIO.Software development or programming experience (preferably Python).A willingness to keep up to date with changes and innovations in artificial intelligence.Good written and verbal communication skills, including the ability to communicate complex concepts to a variety of senior stakeholders with a range of technical experience.The ability to collaborate with data scientists and non-technical people to develop technology solutions.The capacity to learn and grow individually while mentoring junior team members effectively.Other Desirable Skills and ExperienceFamiliarity with modern Large Language Models and associated frameworks.Experience in the MLOps lifecycle – building datasets, training & evaluating models, deployment and feedback.Tertiary qualifications in Artificial Intelligence/Data Science, Computer Science, Mathematics/Statistics or relevant STEM qualifications or equivalent industry experience.Experience with containerisation technologies, particularly Docker and orchestrators such as Kubernetes.What we offer youASIO provides a number of benefits to its staff including:A competitive salary, including a 7.5 per cent allowance for maintaining a TOP SECRET-Privileged Access security clearance.Employer superannuation contributions of 15.4 per cent.A variety of leave options, in addition to the standard 4 weeks annual leave to ensure your work-life balance.Flexible working arrangements to assist you to maintain your work-life balance (Please note: due to our unique working environment, work from home options are generally not available).Study assistance, including financial support and study leave for tertiary education.Access to 7 staff-led diversity and inclusion networks.Access to an Employee Assistance Program (EAP).To be eligible for the role, you must be:Assessed as suitable to hold and maintain a TOP SECRET-Privileged Access security clearance.Reasonable adjustmentsPlease advise us if you require any additional assistance in order to fully participate in the recruitment process or the workplace.LocationThese positions are available from Sydney, Canberra, Melbourne, Adelaide, Brisbane, and Perth.How to applyClick on 'Apply online' to commence your application. Your application must be complete and include the following:A written pitch of up to two pages using examples to demonstrate how your skills, experience and aptitude address the role description and required skills. Refer to the capability framework for guidance on at-level expectations.An up-to-date CV, no more than 2 pages in length.Details of 2 referees, which should include a current or previous manager.All employment decisions and selection processes at ASIO are based on merit principles and candidates must be prepared to undergo various selection stages.ASIO holds all employment applications in the strictest of confidence. It is essential that you do the same. Please do not discuss your application with others as doing so may adversely affect your potential employment.Closing date and timeMonday 14 October 2024, 5.00pm AEDTNo extensions will be granted and late applications will not be accepted.#J-18808-Ljbffr
