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AI Model Developer
3 weeks ago
The primary objective of this role is to develop advanced machine learning and deep learning models for the detection, recognition, and identification of Defence Force platforms using visible images and videos.
This position plays a pivotal role in bolstering Defence Australia's efforts to maintain stealth against evolving surveillance threats.
Key Responsibilities:
- Design and develop machine learning/deep learning models to predict detection, recognition, and identification of Australian Defence Force platforms using visible images and videos.
- Develop machine learning/deep learning models to generate camouflage schemes using images and videos with the aim of reducing visible detection, recognition, and identification of ADF platforms.
- Analyse the detection, recognition, and identification of ADF platforms from images and videos.
- Deliver high-quality scientific reports, including briefs, publications, and presentations.
- Collaborate effectively with peers within the Visible, Environmental Signatures & Protective Systems group, across Platforms Division, and with other divisions.
- Foster national and international partnerships.
- Mentor and nurture junior staff - developing their military and analytical domain knowledge.
Academic qualifications in relevant science, mathematics, or engineering disciplines are essential. Recent experience in image analysis, pattern recognition, and/or object detection would be advantageous.
A strong understanding of machine learning/deep learning techniques and their application to complex systems is mandatory. Effective communication skills, preferably with experience in presentations, demonstrations, and written communication to industry, academia, or peers, are also required.
We value hiring potential and encourage applicants who do not meet all the criteria but have the necessary skills and enthusiasm to apply.