AI Engineer V

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AI Engineer V 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 V 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 V 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 V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be an AI Engineer V typically requires 10+ years of related experience.