About the role
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, 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.
Qualifications
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.
Preferred Qualifications• Experience with MLflow, Mosaic AI Model Serving, Unity Catalog-governed AI assets, Databricks Workflows, Feature Engineering, and model monitoring patterns.• Experience supporting forecasting, automation, or recommendation use cases in manufacturing, distribution, supply chain, finance, sales, or service operations.• Experience preparing AI-ready outputs for dashboards, applications, workflow automation, or conversational AI/BI use cases.• Exposure to vector search, retrieval-augmented generation, agentic workflows, or AI assistant patterns is a plus.• Experience with time-series forecasting, demand planning, revenue forecasting, inventory optimization, or operational prediction models is strongly preferred.
Primary TechnologiesDatabricks, Spark, SQL, Python, MLflow, Mosaic AI Model Serving, Unity Catalog, Databricks Workflows, Delta Lake
We offer 100% employer paid medical plan. Other optional benefit programs are available to our employees and their families which include: 401(k) match, additional medical plans, dental, vision, flex spending account, short-term and long-term disability & life insurance coverage.
Originally posted on Himalayas