Computer Vision Engineer

Were looking for a Computer Vision 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 Computer Vision models, from data strategy and model training to deployment in real-world defense applications.Key ResponsibilitiesAlgorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.Edge Optimization: Port and optimize models for Edge Deployment.Data Reliability: Build tools for automated data collection in changing environments.Skills: Problem Solver, Team Player.Requirements: Experience: 4 years of professional experience in Computer Vision and algorithms development.Computer Vision Fundamentals: Deep mastery of Classic CV (image filtering, feature extraction, geometry) alongside modern Deep Learning.Model Specialization: Proven track record in Object Detection, Image Classification, and Object Tracking in dynamic environments.Software Toolkit: Expert-level proficiency in Python, PyTorch, and OpenCV. with a strong understanding of Linux/ARM architecturesPreferred QualificationsProgramming: Proficiency in C / C for performance-critical modules.Environment: Strong command of Linux, Docker, and Arm-based systems.Audio Signal Processing: Implement ML pipelines for audio feature extraction and classification.Streaming: Knowledge of Video Streaming protocols and low-latency video processing (RTSP, GStreamer).This position is open to all candidates.