ML Data Engineer #978695

Overview

The Data Engineer – AI / ML Pipelines plays a key role in building and optimizing the data infrastructure that powers enterprise analytics and machine learning initiatives. This position focuses on developing robust, scalable, and intelligent data pipelines—from ingestion through feature engineering to model deployment and monitoring.

The ideal candidate has hands-on experience supporting end-to-end ML workflows, integrating operational data from Warehouse Management Systems (WMS) and ERP platforms, and enabling real-time predictive systems. This is a highly collaborative role, working across Data Science, ML Engineering, and Operations to ensure that models are fed with clean, reliable, and production-ready data.

Key Responsibilities

• Build and maintain data pipelines optimized for machine learning workflows and real-time model deployment.
• Partner with data scientists to prepare, version, and monitor feature sets for retraining and evaluation.
• Design and implement feature stores, data validation layers, and model input pipelines that ensure scalability and reproducibility.

Data Integration from WMS & Operational Systems

Data Governance & Quality

Cross-Functional Collaboration

Required Qualifications

Technical Skills

Experience

Education

Preferred Qualifications

Location

Seffner, FL

Employment Type

Full-time

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