Machine Learning Engineer - Product Marketing Customer Analytics

Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then translate them into modeling tasks and engineering tasks Develop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendations Design and implement end-to-end machine learning pipelines—from feature engineering to model serving— using best in class MLOps frameworks Develop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments. Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement. Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance. Tackle difficult, non-routine analysis/prediction problems, applying advanced ML methods as needed. Partner with peers to build and prototype analysis pipelines that provide insights at scale. Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility.