Deep Learning Engineer
We’re looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and 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: Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc. Develop scalable pipelines for training, evaluation, data labeling, and preprocessing Train and optimize models using frameworks like PyTorch/TensorFlow Conduct literature reviews and stay on top of the latest AI trends Prepare models for integration and deployment in production environments Requirements: 2+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must) B.Sc. in Electrical Engineering, Physics, or a related field (M.Sc. or Ph.D. is a plus). Solid foundation in signal processing Experience with radar signal processing (advantage) Proficiency in Python and major DL frameworks Excellent analytical thinking and problem-solving Independent and proactive
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