Description
The role leads the technical direction and execution of machine learning projects within a Data Science team, mentoring engineers and data scientists while establishing software design, architecture, and MLOps best practices. Responsibilities include designing and optimizing end-to-end machine learning pipelines, deploying and monitoring models, transitioning experimental models to production, collaborating with software and product teams, maintaining GCP infrastructure, developing APIs, and implementing security and ethical AI practices. The position requires eight years of hands-on production machine learning experience, leadership experience, proficiency in Python and Go, MLOps expertise, and knowledge of GCP services.
