Artificial Intelligence / Machine Learning Engineer

• AI/ML engineering experience developing machine learning models within complex engineering environments
• Permanent Full-Time
• Based in Canberra – onsite
• Must hold a current NV1 Security Clearance

Our Client Our client aims to reinvent tomorrow by solving the world’s most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Our client provides a full spectrum of professional services including consulting, technical, scientific and project delivery for the government and private sector. The Role An exciting opportunity exists for an experienced AI/ML Engineer to provide technical leadership across cutting-edge programs. You will support the development of AI/ML capability, influence future policy and certification approaches, and work closely with engineering teams to deliver innovative solutions within secure, mission-critical environments. Your Duties Will Include

• Develop AI/ML requirements and provide technical expertise across complex capability programs.
• Design, develop and evaluate machine learning models using modern AI frameworks and engineering best practices.
• Represent the organisation at AI/ML working groups, conferences and technical forums.
• Support the development of AI/ML certification policies and technical governance for future autonomous systems.
• Collaborate with multidisciplinary engineering teams to integrate AI/ML solutions into complex platforms.

Skills And Experience

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
• Demonstrated experience developing machine learning models using Python and frameworks such as PyTorch, TensorFlow, Scikit-learn or OpenCV.
• Experience working with complex datasets including imagery, video, sensor, telemetry or time-series data.
• Strong understanding of the end-to-end machine learning lifecycle, including model development, validation, testing, deployment and performance monitoring.
• Experience applying modern software engineering practices including version control, automated testing, documentation and Agile delivery.
• Ability to work effectively across multidisciplinary engineering teams in secure or safety-critical environments.
• Excellent analytical, communication and stakeholder engagement skills.

Application Process If you would like to apply for this opportunity, please click ‘APPLY’. For further information, please contact Jaela Smith on 0480 806 146 or email jaela.smith@talentinternational.com.