AI/ML Data Engineer

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Sonny's Enterprises Inc. - Conveyorized Car Wash Equipment Leader

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1949

🤝 B2B

🛒 Retail

🛍️ eCommerce

B2B • Retail • eCommerce

Sonny's Enterprises Inc. is a leader in conveyorized car wash equipment, providing a wide range of solutions including car wash parts, supplies, controls, chemistry, signage, marketing, and services. They offer extensive support and resources for car wash owners, including a learning center dedicated to industry knowledge and development, ensuring customers have access to the necessary tools to operate their car wash effectively.

📋 Description

• 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, business logic, and AI-enabled metrics align to governed semantic structures and reporting standards. • Create reusable notebooks, libraries, feature engineering patterns, evaluation templates, and deployment frameworks that accelerate enterprise AI adoption while remaining supportable. • Support AI/BI and agent-based consumption by preparing structured, governed, business-readable outputs that can be used by reporting tools, applications, and AI assistants. • Translate forecasting and AI outputs into measurable operational or financial impact, including revenue opportunity, margin improvement, demand planning, service performance, inventory optimization, and process automation.

🎯 Requirements

• 5+ years of experience in machine learning engineering, data engineering, analytics engineering, applied AI engineering, or production forecasting. • Strong hands-on experience with Databricks, Spark, SQL, Python, and production-grade data pipeline development. • Experience building forecasting or machine learning solutions in production, including feature preparation, model training, evaluation, deployment, monitoring, and support. • Experience with model lifecycle practices, versioning, validation, performance tracking, and production release processes. • Ability to connect technical AI and forecasting work to measurable financial, operational, or customer-facing outcomes. • Strong understanding of data quality, metric consistency, semantic validation, and governed enterprise reporting needs.

🏖️ Benefits

• 100% employer paid medical plan • 401(k) match • additional medical plans • dental • vision • flex spending account • short-term and long-term disability & life insurance coverage