About the Role: We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing cutting-edge computer vision algorithms, working on real-world applications involving image processing, object detection, recognition, and deep learning. If you are passionate about AI, machine learning, and solving challenging problems in computer vision, we would love to hear from you!Key Responsibilities:Develop and Optimize CV Algorithms:Design, implement, and optimize computer vision and deep learning models for tasks such as object detection, image segmentation, and tracking.Improve image classification, feature extraction, and OCR performance.Machine Learning & Deep Learning Implementation:Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn.Work with CNNs, transformers, GANs, and self-supervised learning techniques.Data Processing & Model Training:Process and augment large-scale image and video datasets.Optimize model performance for real-time applications on edge devices or cloud-based solutions.Software Development & Deployment:Develop efficient Python pipelines for real-time image processing and have C++ plus.Deploy AI models into production environments, mobile devices, or embedded systems.Collaboration & Research:Work closely with AI researchers, software engineers, and product teams to develop innovative solutions.Stay updated with the latest research in computer vision, deep learning, and AI.Required Qualifications:Education: Bachelor's or Masters degree in Computer Science, Electrical Engineering, Artificial Intelligence, or Data Science a related field.Technical Skills:Strong programming skills in Python and plus to have C++.Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn.Proficiency in deep learning architectures like CNNs (SSD,Faster-Rcnn,YOLO), RNNs, and Vision Transformers.Understanding image processing techniques, feature extraction, and object recognition, Model Parameters tuning.Experience with cloud computing platforms (AWS, Google Cloud).Familiarity with MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO)Soft Skills:Strong analytical and problem-solving abilities.Ability to work independently and within a team.Excellent communication skills in English.
