Computer Vision Engineer

4 weeks ago


India Weekday AI Full time

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



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