AI/ML Data Engineer

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.

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.

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.