Staff Data Engineer, MLOps

The Staff Data Engineer, MLOps leads the design, build, and optimization of Hershey’s machine learning operations platform—enabling data science and AI teams to develop, deploy, monitor, and govern ML models at enterprise scale. Sitting within Platform Engineering, this role owns the infrastructure, tooling, and automation that move models from experimentation to production with speed and confidence. This is a foundational role—you will define and build Hershey’s MLOps capability from the ground up, shaping the platform, establishing engineering standards, and growing the team as the function matures. Whether your background is in ML engineering, data platform engineering, or DevOps with ML exposure, we’re looking for someone who can bridge the gap between data science and production infrastructure on Azure Cloud and Databricks.

What We Are Building for Hershey

Hershey is building an AI-driven enterprise platform that transforms how we compete across retail, supply chain, and commercial. We are standing up a unified MLOps foundation on Azure and Databricks that will power demand forecasting models that sharpen inventory and production planning, real-time pricing and promotion optimization engines for our retail and commercial partners, computer vision and quality-detection models on manufacturing lines, and next-generation consumer analytics that personalize how we reach millions of households. This role is at the center of that transformation—engineering the platform that turns breakthrough data science into production AI at Hershey scale.

Major Duties & Responsibilities

• ML Platform Engineering & Infrastructure Design and maintain the end-to-end MLOps platform on Azure and Databricks: model training infrastructure, feature stores, experiment tracking, model registries, and serving endpoints. Build and optimize CI/CD pipelines for