Key Responsibilities include ensuring neural networks perform optimally under diverse conditions by combining work on data, model design, and training. Additionally, this entails guaranteeing performance through meticulous design and verification activities, adhering to our ML certification framework developed in collaboration with regulatory bodies.
To achieve these objectives, the successful candidate will leverage transfer learning to significantly augment the amount of available training and evaluation data, particularly through simulation.
* The role requires a deep understanding of machine learning principles, algorithms, and applications.
* A Master's or PhD degree in computer science, physics, mathematics, or a related technical field is mandatory.
We are committed to fostering a culture of continuous learning and professional growth.
Benefits
We offer an exceptional opportunity for individuals passionate about AI-enhanced automation and its applications in aviation.
Learners will have access to industry conferences and events to enhance their knowledge and stay updated on the latest advancements.
About the Role
This is an exciting opportunity to join our team and contribute to shaping the future of AI-enhanced avionics systems.