Computer Vision Engineer to develop and deploy AI-powered computer vision models using Convolutional Neural Networks CNNs and unsupervised learning techniques The ideal candidate will have expertise in designing and training camera-based AI models for various applications Roles Responsibilities Spearhead the development of high-performance real-time computer vision algorithms for autonomous gun turret platforms with emphasis on aerial threat detection multi-object tracking and dynamic classification of drones Architect and fine-tune deep learning models optimized for deployment on edge computing platforms with stringent resource constraints ensuring minimal latency and maximal inference accuracy Collaborate cross-functionally with electrical and embedded systems engineers to seamlessly integrate vision modules into custom hardware architectures including FPGA and SoC-based systems Design and execute rigorous validation protocols using synthetic and real-world datasets to benchmark algorithmic performance under diverse environmental and operational conditions Provide technical leadership and mentorship to junior engineers fostering domain expertise in AI-driven perception systems and scalable machine learning pipelines Drive the maturation of prototype vision systems into production-ready defense-grade solutions supporting modular adaptations for varied weapon platforms engagement distances and mission profiles Design develop and deploy computer vision models using CNNs and unsupervised learning techniques Work with camera-based datasets to train and fine-tune models for specific applications Implement and optimize algorithms for object detection tracking and classification Technical Programming Languages - Python C ML Frameworks - TensorFlow PyTorch Embedded Systems - Integration optimization Sensor Technologies - Cameras LIDAR RADAR Real-Time Systems- Algorithm deployment tuning Hardware Integration - Embedded vision systems Skillsets Strong analytical and problem-solving abilities in computer vision and robotics Ability to work in high-stakes mission-critical environments with attention to detail Knowledge of computer vision libraries e g OpenCV YOLO Functional Machine Learning Computer Vision End-to-end development and deployment of ML-based vision systems Robotics Experience with autonomous systems and sensor fusion System Integration Hardware-software co-design and embedded deployment Defense Applications Understanding of military-grade system requirements and operational constraints Job Type Full-time Pay Up to 1 200 000 00 per year Perks Health insurance Provident Fund Work Location In person