AI/ML Data Engineer

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

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1949

📦 Logistique

📣 Marketing

💼 Conseil

Logistics • Marketing • Consulting

Sonny's Enterprises Inc. est un leader dans les équipements de lavage de voiture sur convoyeur, offrant une large gamme de solutions incluant des pièces pour lavage de voiture, des fournitures, des commandes, des produits chimiques, une signalétique, du marketing et des services. Ils proposent un support et des ressources étendus pour les propriétaires de centres de lavage de voiture, incluant un centre de formation dédié à la connaissance et au développement de l'industrie, assurant ainsi que les clients aient accès aux outils nécessaires pour exploiter efficacement leur centre de lavage.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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