Provide technical and product leadership across the end-to-end AI lifecycle, from research, experimentation and prototyping through production deployment, monitoring and continuous improvement.
Ensure AI solutions are scalable, secure, reliable and fit for purpose, balancing technological innovation with user needs, operational requirements, governance standards and organisational roadmaps.
Establish best practices in AI engineering, model evaluation, Responsible AI, MLOps and AI product delivery to ensure high-quality, trusted and sustainable AI systems.
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Administrative duties may include safety management, asset management, and other assigned responsibilities.
PhD in Electrical & Electronics Engineering, Communications, or a related field.
Strong background in statistical signal processing, estimation theory, detection and classification, waveform-based geolocation, and machine learning/deep learning, with demonstrated research experience in passive localization and tracking using signals of opportunity from LEO NTN systems such as Starlink, Iridium, or similar satellite constellations.
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