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They work on cutting-edge research, publish papers. These professionals typically have a strong background in computer science, mathematics, and machine learning.
They work on data preprocessing, model training, and evaluation to create AI systems that can generate new content or insights.
They bridge the gap between technical teams and business stakeholders to ensure the successful implementation of generative AI solutions.
Specialize in developing and optimizing deep neural networks for generative AI. They work on complex models and algorithms to create new data, images, or content.
Advise organizations on implementation and adoption of generative AI technologies. They provide insights and recommendations to help businesses leverage AI for growth.
Ensure that generative AI models are developed and deployed responsibly. They address ethical concerns, such as bias and fairness, and develop guidelines for ethical AI practices.
Computer Vision Engineers develop generative models for image and video processing. They work on applications such as image synthesis, video generation, and augmented reality.