AI Engineer II ensures the scalability, reliability, and performance of AI systems. Develops and executes performance tests on AI systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance. Being an AI Engineer II performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Additionally, AI Engineer II proficient in big data tools, cloud platforms, and machine learning. Requires a bachelor's degree in computer science or related degree. Typically reports to a manager. The AI Engineer II occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. To be an AI Engineer II typically requires 2-4 years of related experience.
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