We’re looking for a Deep Learning Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.

Responsibilities include:

• Designing and implementing DL algorithms for radar systems
• Developing scalable pipelines for data labeling and preprocessing
• Training and optimizing models using frameworks like PyTorch/TensorFlow
• Conducting literature reviews and staying on top of the latest AI trends
• Collaborating with defense R&D teams to translate real-world needs into model design
• Preparing models for integration and deployment in production environments

Requirements:

• 3+ years of experience in AI / Deep Learning (must)
• Experience with Computer Vision
• Experience with Image Processing
• Strong background in DL algorithms & architectures
• Experience with radar signal processing (advantage)
• Experience with SAR radar (advantage)
• Proficiency in Python and major DL frameworks
• Excellent analytical thinking and problem-solving
• Ability to work collaboratively in a multidisciplinary team