Also referred to as: Lead Algorithm Engineer, Lead Machine Learning Engineer
Requirements and Responsibilities

Lead AI Engineer designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Being a Lead AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Additionally, Lead AI Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. The 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. To be a Lead AI Engineer typically requires 10+ years of related experience.

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