Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re actively looking for a hands-on Engineer to focus on MLOps/Data Engineering to build the data and ML platform that powers product decisions and production models. As an MLOps/Data Engineer, you’ll report to the Data Science Manager and work closely with both our Data Science and Product teams. You’ll architect storage and compute, harden training/inference pipelines, and make our ML code, data workflows, and services reliable, reproducible, observable, and cost-efficient. You’ll also set best practices and help scale our platform as Nift grows. Our Mission: Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful 'thank-you' gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 1,111% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale.