Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications
Work with large-scale visual datasets to train, test, and validate models
Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing
Enhance the efficiency, accuracy, and robustness of existing vision-based models
Collaborate with software engineers, data scientists, and product teams to integrate algorithms into TechSee’s AI-powered platform
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models
Requirements
5+ years of experience in developing and optimizing Computer Vision algorithms
Hands-on experience with Deep Learning architectures, including CNNs, Transformers, and diffusion models
Knowledge of classic machine learning and unsupervised learning techniques
Expertise in image processing, object detection, segmentation, and feature extraction
Strong proficiency in Python
Experience with frameworks such as TensorFlow, PyTorch, OpenCV, and Hugging Face
Experience working with large-scale datasets and optimizing models for real-world applications
Proven track record of developing and deploying real-world solutions using Deep Learning methods
Familiarity with cloud-based AI deployment (AWS) - Advantage
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field
Benefits
Personal development programs and professional training
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