ML Engineer (Customer Engagement)

Описание Iterable is an AI customer engagement platform for enterprise organizations. It helps brands activate customer data, create cross-channel experiences, and optimize engagement using its Nova Intelligence AI layer, with enterprise-grade security and compliance.

Задачи • Build and ship core product ML capabilities, including send-time and frequency optimization, recommendation engines, and campaign personalization • Own the full model lifecycle, from EDA and feature engineering through distributed training, production deployment, latency monitoring, and online experimentation • Build and scale data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes • Partner with Backend and Platform teams to improve feature serving and data architecture and establish engineering standards • Mentor engineers and help set the technical direction for ML • Build, evaluate, and integrate models that add intelligence to the core product • Enhance models that optimize the send time and frequency of outgoing message campaigns • Design data pipelines that simplify implementing and testing new models • Work with platform engineers to enhance feature- and model-serving architecture • Benchmark and improve the multi-armed bandit implementation • Build tools to visualize and debug features and models

Требования • 5+ Years of hands-on MLE experience putting complex models into production at scale • Strong Databricks and Spark expertise, including building,…