We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
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 AI-powered platform.
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models.
Responsibilities:
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 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, as well as knowledge of classic machine learning and unsupervised learning techniques.
Expertise in image processing, object detection, segmentation, and feature extraction.
Strong proficiency in Python and 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) and ML Ops tools-Advantage.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.
5+ years of experience in developing and optimizing Computer Vision algorithms.
Hands-on experience with Deep Learning architectures, including CNNs, Transformers, and diffusion models, as well as knowledge of classic machine learning and unsupervised learning techniques.
Expertise in image processing, object detection, segmentation, and feature extraction.
Strong proficiency in Python and 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) and ML Ops tools-Advantage.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.
This position is open to all candidates.
