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3.0 - 7.0 years

0 Lacs

karnataka

On-site

You are a Computer Vision/ML Engineer who will be a valuable addition to our team dedicated to solving machine vision problems. In this role, you will be responsible for developing and implementing state-of-the-art computer vision algorithms to ensure top-notch quality standards for our products. Your primary responsibilities will include: - Developing and implementing computer vision and machine learning algorithms for detecting and classifying defects in manufacturing facilities. - Preprocessing and augmenting project datasets to enhance model performance. - Staying updated with the latest research and advancements in computer vision and machine learning specifically related to defect detection and classification. - Optimizing existing computer vision models for improved accuracy and efficiency in classification. - Conducting experiments to evaluate model performance using relevant metrics and benchmarks. - Researching and innovating solutions to tackle challenges in defect detection and classification. - Collaborating closely with software engineers to integrate models into final production systems. To excel in this role, you should possess the following qualifications: - A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3-4 years of professional experience in computer vision and machine learning, focusing on object detection and classification. - Profound knowledge of computer vision basics, including image preprocessing, feature extraction, object detection, and image segmentation. - Proficiency in Python programming. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Familiarity with data augmentation techniques, filtering, and contour extraction. - Understanding of cutting-edge computer vision models and techniques applicable to defect detection and classification tasks. - Strong problem-solving abilities and the capacity to work both independently and collaboratively. - Excellent communication and collaboration skills. Preferred qualifications include: - Experience in quality control or inspection projects within manufacturing environments. - Knowledge of industrial imaging systems and techniques. - Understanding of parallel computing and GPU optimization for accelerated model training and inference. Joining our team offers you numerous benefits, such as: - Opportunity to shape your career path independently. - Exposure to a diverse consulting environment working with Fortune 500 companies and startups. - A dynamic yet supportive work atmosphere that fosters personal growth. - Involvement in a close-knit community that extends beyond work, including sports, social gatherings, and shared interests. - Being part of the exciting growth journey at Thoucentric. If you are passionate about computer vision and machine learning, and eager to contribute to cutting-edge projects in a supportive and collaborative environment, we encourage you to apply and become part of our team at Thoucentric.,

Posted 4 days ago

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