Artificial Intelligence Machine Learning Engineer

Amentum is a leader in global engineering project management and solutions integration trusted to modernise the most critical missions anywhere in the world. Driven to create a safer smarter cleaner world we innovate as a team of inventive doers passionate about making a difference. Underpinned by a strong culture of ethics safety and inclusivity. Amentum is fiercely committed to operational excellence and successful execution.

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Role Description:

UASPO requires the support of an Artificial Intelligence/Machine Learning (AI/ML) subject matter expert to support both the AUSLIST program and ASCA Precision Loitering Munitions (PLM) missions.

Key responsibilities:

• Support the development of AI/ML requirements
• Represent the client at AI/ML related Defence activities (conferences and working groups) and
• Develop AI/ML policy for the certification to support future UAS projects within the clients program of work including RAS at Scale Delivery Model.

Essential Requirements:

• Bachelor Degree in Computer Science (AI/ML) or similar
• Demonstrated experience developing machine learning models using Python and common AI/ML frameworks such as PyTorch TensorFlow Scikit-learn OpenCV or similar.
• Experience working with complex datasets including imagery video sensor data telemetry time-series data simulation data or engineering data.
• Strong understanding of machine learning model development validation testing deployment and performance monitoring.
• Experience with software engineering practices including version control code review automated testing documentation and agile delivery.
• Ability to work in multidisciplinary engineering environments involving systems software data hardware operations and test teams.
• Strong analytical problem-solving communication and stakeholder engagement skills.
• Ability to work within secure regulated or safety-critical environments.
• Eligibility to obtain and maintain an appropriate security clearance

Desirable Requirements:

• Experience in UAS autonomous systems loitering munitions aerospace defence robotics electronic systems mission systems or weapons systems programs.
• Experience with computer vision sensor fusion edge AI embedded AI geospatial analytics autonomy assurance simulation environments or real-time data processing.
• Experience with MLOps tools and platforms such as MLflow Kubeflow Docker Kubernetes Git CI/CD pipelines model registries or cloud-based AI/ML services.
• Experience with cloud platforms such as Azure AWS or Google Cloud.
• Experience supporting test and evaluation verification and validation trials operational analysis or safety assurance activities.
• Knowledge of systems engineering model-based systems engineering digital engineering requirements management configuration management and technical governance.
• Understanding of defence security export controls ITAR/EAR cyber security safety management human-in-the-loop systems and responsible AI principles.
• Experience with tools such as MATLAB Simulink ROS C CUDA SQL Databricks Palantir Teamcenter Cameo DOORS Jira Confluence or similar.

Required Security Clearance Level: NV1

Location: Brisbane or Canberra

Hours: 80hr per fortnight as agreed with client.