The Principal MLOps Engineer in the Acxiom Data Science and Machine Learning team will spearhead the development of an MLOps platform to support the development and lifecycle of Acxiom’s modeled propensities. This role integrates software engineering, AI/ML engineering, data proficiency, and MLOps experience to build a state-of-the-art MLOps solution that can power our model product builds, and other complex marketing activities/ As a Principal MLOps Engineer, you will collaborate with the MLOps engineering lead to modernize and operationalize Acxiom's Machine Learning platform and its machine learning pipelines, which process terabytes of data. Your responsibilities will include defining requirements, partnering with the Architecture Center of Excellence to establish the new MLOps platform architecture, and leading the hands-on development of MLOps pipelines capable of supporting a large portfolio of ML models and their lifecycles. This role can be located almost anywhere in the U.S.