AI Engineer III

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AI Engineer III designs and develops scalable solutions using AI tools and machine-learning models. Ensures the scalability, reliability, and performance of AI systems. Being an AI Engineer III 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. Performs research and testing to develop machine learning algorithms and predictive models. Additionally, AI Engineer III utilizes big data computation and storage tools to create prototypes and datasets. 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. The AI Engineer III work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. To be an AI Engineer III typically requires 4-7 years of related experience.