AI Systems Engineer

3 days ago

Sydney, New South Wales, Australia University of New South Wales Full time
About the Role

We are seeking a highly skilled AI Engineer to join our team at the University of New South Wales. As an AI Engineer, you will be responsible for designing, implementing, and maintaining scalable cloud-based AI services that deliver robust, sustainable, and reliable operational AI models and systems for enterprise-level deployment and use.

Key Responsibilities
  • Consult and liaise with project leaders, management team, data scientists, education designers, and other stakeholders to understand business needs and lead AI system planning, delivery, and support.
  • Collaborate with divisions, faculties, and schools to understand their business issues and needs and provide relevant advice or AI solutions that meet their requirements.
  • Develop, implement, monitor, and maintain AI systems using the University-approved platforms, managing and optimizing data storage and retrieval systems to enable security outcomes.
  • Provide thought leadership and technical expertise in relation to AI at UNSW.
  • Design and implement AI models monitoring Azure and AWS resources to ensure AI systems operate in accordance with UNSW standards.
  • Manage requests and release in DevOps and AI processes.
  • Provide end-to-end testing support, defining requirements, implementing processes, and reporting results.
  • Provide end-to-end AI System support, responding to requests from stakeholders and implementing solutions.
  • Create and maintain documentation, including model documentation, systems diagrams, and tailored reports as required.
  • Maintain and improve AI Systems to ensure technology currency, minimize hallucination model drift, and improve performance over time, ensuring that they continue to work as intended.
  • Identify opportunities for continuous improvement and new projects by investigating and testing new technologies and collaborating with colleagues to evaluate and implement enhancements or new solutions that facilitate improved outcomes for key stakeholders.
Requirements
  • Postgraduate degree in Computer Science, Software Engineering, or a related field with relevant experience in data engineering, cloud engineering, business intelligence development, or an equivalent level of competency gained through any combination of education, training, or experience.
  • Advanced cloud computing skills and experience in the development and implementation of AI resources and pipelines in cloud-based computing environments.
  • Advanced programming skills and experience in the implementation and management of structured and unstructured big data analysis. Proven experience in Python and PySpark is highly desirable.
  • Demonstrated ability to define, develop, and implement testing procedures, including knowledge of automated testing software and methodologies.
  • Demonstrated ability to conduct impact assessments and implement mitigation measures to ensure compliance with cyber and data security and privacy regulations and changes to data collection requirements for the university, identifying ways to collect data in the enterprise systems that protect sensitive data, including research, student, and staff data.
  • Demonstrable high-level problem-solving and analytical skills, to identify and implement required developments and processes to deliver and improve data service solutions.
  • Demonstrated ability to work proactively and effectively in a collaborative and interdisciplinary environment of teams and stakeholders.
  • Exceptional communication and interpersonal skills with the ability to build and maintain effective working relationships and convey ideas and information in a clear and professional manner through presentations, written communication, high-quality analysis, submissions, reports, and recommendations.
  • High-level organisational and project management skills with experience contributing to large projects in a technical capacity with a wide variety of stakeholders in an agile, deadline-driven environment.
  • An understanding of and commitment to UNSW's aims, objectives, and values in action, together with relevant policies and guidelines.
  • Knowledge of health & safety (psychosocial and physical) responsibilities.
What We Offer
  • Career development opportunities.
  • 17% Superannuation contributions and additional leave loading payments.
  • Additional 3 days of leave over the December/January holiday period.
  • Discounts and entitlements (retail, education, fitness).

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