Computer Vision Engineer

👁️ Computer Vision Engineer🧠 Role DescriptionWe are looking for a skilled, innovative, and analytical Computer Vision Engineer to develop intelligent vision-based solutions that enable systems to understand, analyze, and interpret visual information. 🚀 In this role, you will design, develop, test, and optimize computer vision models and applications for real-world use cases.You will work with images, videos, and other visual data to build solutions for tasks such as object detection, image classification, segmentation, tracking, recognition, and visual analysis. 📷 You will collaborate with software engineers, data scientists, machine learning specialists, and product teams to transform technical requirements into reliable and scalable computer vision systems.Your responsibilities will include preparing and analyzing datasets, developing and evaluating models, improving accuracy and performance, and integrating vision solutions into production applications. ⚙️ You will also troubleshoot model behavior, investigate performance issues, and contribute to continuous improvements in algorithms and system efficiency.The ideal candidate should have strong programming, mathematical, and problem-solving skills with a passion for artificial intelligence and visual computing. 🧠 Attention to detail, experimentation, curiosity, and the ability to turn complex technical challenges into practical solutions are essential.🎯 Qualifications🎓 Bachelor’s degree or equivalent qualification in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, or a related field.👁️ Strong understanding of computer vision and image processing concepts.🐍 Strong programming skills in Python and familiarity with libraries such as OpenCV, NumPy, or similar tools.🤖 Understanding of machine learning and deep learning techniques for visual data.🧠 Familiarity with frameworks such as PyTorch, TensorFlow, or similar deep learning platforms.📷 Knowledge of image classification, object detection, image segmentation, feature extraction, and visual recognition.📊 Understanding of model evaluation, data preprocessing, training, validation, and performance optimization.🔢 Strong foundation in mathematics, statistics, linear algebra, and algorithmic problem-solving.⚙️ Familiarity with APIs, cloud platforms, GPUs, model deployment, or production ML systems is an advantage.🔎 Strong debugging, analytical, and experimentation skills with attention to model accuracy and reliability.🤝 Excellent communication and collaboration skills when working with multidisciplinary teams.🚀 Passion for AI, emerging technologies, and continuous improvement of intelligent vision-based solutions.