The Principal AI Engineer ensures the scalability, reliability, and performance of AI systems. Designs and develops scalable solutions using AI tools and machine-learning models. Being a Principal AI Engineer performs research and testing to develop machine learning algorithms and predictive models. 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. In addition, Principal AI Engineer utilizes big data computation and storage tools to create prototypes and d ...atasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient in big data tools, cloud platforms, multiple AI tools such as Python, Java, or R, and machine learning frameworks like Spark, TensorFlow, or scikit-learn. Requires a bachelor's degree in computer science or related degree. Typically reports to a manager. Being a Principal AI Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Principal AI Engineer typically requires 7+ years of related experience.More Show Less
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