$ cat jobs/ai-ml-data-engineer-sonny-s-enterprises-llc-188d72951a0d.json
AI/ML Data Engineer
Overview Sonny's Enterprises is the world's largest manufacturer of conveyorized car wash equipment, parts, and supplies. We are the industry leader, recognized and awarded by the International Car Wash Association for innovating new technologies to advance the industry with products proudly designed and built in the USA. Our culture thrives on finding new and better ways to accelerate what’s next. We embrace change and the opportunity it produces to maximize the potential of our most valuable resource — our PEOPLE! We invite you to explore our opportunities and grow your career with us. The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top of the company’s governed Databricks lakehouse foundation. This role focuses on feature engineering, training and inference workflows, model evaluation, model serving, monitoring, and AI-ready outputs that support forecasting, business automation, intelligent recommendations, executive reporting, and AI/BI consumption. This role is accountable for turning trusted enterprise data into production AI and forecasting capabilities that are reliable, measurable, governed, and usable by the business. Responsibilities Build and maintain feature pipelines, training datasets, and forecast workflows for revenue, demand, delivery timing, customer behavior, inventory risk, process performance, and operational planning use cases.• Operationalize forecasting and machine learning models through repeatable training, evaluation, deployment, inference, and monitoring patterns in Databricks.• Deploy and support batch, near-real-time, and API-based inference outputs for dashboards, Databricks Apps, workflow automation, business alerts, and decision-support tools.• Implement model performance tracking, drift monitoring, validation checks, error handling, and traceability from source data through feature logic to prediction output.• Partner with Data Engineering and BI teams to ensure forecast outputs, KPIs,
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