Senior Machine Learning Engineer

Job description

- Deep expertise in building and operating production-grade ML and data platforms using Spark (PySpark + SQL), Databricks (Azure), and Delta Lake, with strong hands-on experience in MLOps practices including MLflow model lifecycle management, feature store architecture (offline + online), CI/CD for ML workflows, and scalable model deployment. Proven ability to design reliable, cost-efficient distributed data systems, optimize Spark workloads, and implement robust governance, observability, and access controls across ML data pipelines. Strong cloud engineering fundamentals in Azure, including orchestration, infrastructure reliability, and integration with services such as CosmosDB and downstream analytics systems. - The Data Engineering and Machine Learning teams at Zip exist to make data and ML production-ready, trusted, and scalable across the business. Our mission is to elevate the quality, reliability, and accessibility of data assets while enabling innovative AI-driven applications that create measurable customer and commercial impact. - We operate with an ownership mindset — engineers here don’t just build pipelines, they own platforms end-to-end. Great talent on this team thr...