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Computer Vision Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA). Min Experience: 4 years. JobType: full-time. We are seeking a skilled and experienced . Computer Vision Engineer. to join our dynamic AI/ML team. In this role, you will be responsible for designing, developing, and deploying computer vision solutions that leverage state-of-the-art models and frameworks. Your work will directly contribute to real-time systems in industries such as surveillance, automotive, healthcare, and retail.. As a key member of our engineering team, you will lead the development of models and pipelines using . YOLO. , . PyTorch. , and . OpenCV. , and deploy scalable solutions using . Python. . You will collaborate closely with data scientists, machine learning engineers, and product managers to build solutions that power intelligent visual recognition capabilities.. Key Responsibilities. . Design and implement computer vision models and systems tailored to business requirements using deep learning techniques. . . Develop object detection, image classification, segmentation, and tracking solutions using YOLO and other relevant architectures. . . Use and customize . OpenCV. and . PyTorch. for image preprocessing, augmentation, and model training. . . Optimize model performance for both accuracy and inference speed on edge devices and cloud environments. . . Work with large-scale datasets: data collection, cleaning, annotation, and augmentation. . . Perform rigorous validation and testing of CV models to ensure robustness and generalizability. . . Collaborate with cross-functional teams for integration of computer vision modules into products and platforms. . . Keep up-to-date with the latest research trends, tools, and libraries in computer vision and deep learning. . . Required Skills and Experience. . . 4–8 years. of industry experience in developing and deploying computer vision applications. . . Proficiency in . Python. with hands-on experience in . PyTorch. for deep learning model development. . . Strong command of . OpenCV. for image and video processing tasks. . . Expertise in . YOLO (You Only Look Once). for real-time object detection. . . Solid understanding of computer vision fundamentals including feature extraction, object detection, classification, and tracking. . . Experience in training, fine-tuning, and evaluating deep learning models on real-world datasets. . . Ability to write clean, efficient, and modular code with proper documentation. . . Familiarity with GPU acceleration and performance optimization for inference. . . Experience working with version control systems like Git. . . Preferred Qualifications. . Master’s or Bachelor’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. . . Experience deploying CV models in production environments (e.g., on cloud or edge devices). . . Familiarity with ONNX, TensorRT, or similar model optimization frameworks. . . Knowledge of CI/CD pipelines for ML deployment.. . Company Location: India.