The role involves collaborating with data scientists and engineers on advanced machine learning and generative AI initiatives. The professional will design and create data pipelines from initial experimentation through to production deployment. Responsibilities include managing multiple projects while leading other machine learning engineers. The individual will identify business opportunities and maintain relationships with stakeholders. Furthermore, the position requires establishing automated processes for large-scale data analysis and contributing to model development, validation, and implementation.

The role requires at least five years of production experience in data science or software engineering. Candidates must possess deep knowledge of mathematics, statistics, and algorithms, along with at least six to twelve months of experience in generative AI deployment. Proficiency in at least two programming languages such as Python, Scala, Java, or C++ is necessary. Additionally, the candidate must demonstrate the ability to design machine learning pipelines and manage deployment processes including CI/CD and containerization.