Computer Vision Engineer

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. Requirements 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. Originally posted on Himalayas