The Lead 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 Lead 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, Lead AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conduc ...ts 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 Lead AI Engineer 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. Working as a Lead AI Engineer typically requires 10+ years of related experience.More Show Less
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