Computer Vision Engineer
3 weeks ago
At Unreal Gigs, we're on the cutting edge of artificial intelligence and machine learning. We're seeking a talented Computer Vision Engineer to join our team and help us push the boundaries of what's possible in visual data analysis.
Key Responsibilities:- Develop Advanced Computer Vision Algorithms: Design and implement cutting-edge computer vision techniques for tasks such as object detection, facial recognition, image segmentation, and motion tracking.
- Build and Train Deep Learning Models: Create and train deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to solve complex computer vision problems.
- Image and Video Processing: Develop solutions for processing and analyzing large volumes of visual data from images and videos.
- Data Annotation and Preprocessing: Prepare and preprocess datasets for training and evaluation.
- Deploy Computer Vision Models in Production: Collaborate with software engineers and DevOps teams to deploy computer vision models into production environments.
- Computer Vision Expertise: Strong knowledge of computer vision techniques, including image classification, object detection, image segmentation, and feature extraction.
- Deep Learning Proficiency: Expertise in deep learning techniques, particularly in convolutional neural networks (CNNs), RNNs, and transfer learning.
- Programming and Software Development: Proficiency in Python, C++, or a similar programming language, with experience writing production-level code.
- Model Deployment and Optimization: Experience deploying machine learning models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
- Competitive Salary: A competitive salary and benefits package.
- Opportunities for Growth: Opportunities for career advancement and professional development.
- Collaborative Environment: A collaborative and dynamic work environment.
We're looking for a talented individual who is passionate about computer vision and machine learning. If you're excited about solving real-world problems through cutting-edge computer vision techniques, we'd love to hear from you.
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