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About the role
Responsibilities Develop and implement machine learning and deep learning models. Design and deploy computer vision algorithms for image classification, object detection, segmentation, OCR, and video analytics. Preprocess and annotate image/video datasets for training and evaluation. Collaborate with crossfunctional teams to integrate AI/ML solutions into production systems. Stay updated with the latest research and advancements in AI/ML and computer vision. Document model architecture, training procedures, and deployment workflows. Requirements 5+ years of experience in AI/ML development, with at least 3+ years in computer vision projects. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikitlearn. Experience with image processing, feature extraction, and deep learning architectures (CNNs, GANs, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes). Responsibilities Develop and implement machine learning and deep learning models. Design and deploy computer vision algorithms for image classification, object detection, segmentation, OCR, and video analytics. Preprocess and annotate image/video datasets for training and evaluation. Collaborate with crossfunctional teams to integrate AI/ML solutions into production systems. Stay updated with the latest research and advancements in AI/ML and computer vision. Document model architecture, training procedures, and deployment workflows. Requirements 5+ years of experience in AI/ML development, with at least 3+ years in computer vision projects. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikitlearn. Experience with image processing, feature extraction, and deep learning architectures (CNNs, GANs, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).