Artificial Intelligence / Machine Learning Engineer

Responsibilities

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

Qualifications

• 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.

Core Competencies

Demonstrates expertise in developing and validating machine learning models using Python and frameworks such as PyTorch and TensorFlow, while effectively engaging stakeholders in multidisciplinary environments. Capable of navigating secure and regulated settings to support AI/ML policy development for UAS projects.