ML Data Engineer #978695

Job Title : Data Engineer – AI / ML Pipelines

Location : Seffner, FL

Work Model : Hybrid

Duration : CTH

Position Summary

The Data Engineer – AI / ML Pipelines plays a key role in designing, building, and maintaining scalable data infrastructure that powers analytics and machine learning initiatives. This position focuses on developing production-grade data pipelines that support end-to-end ML workflows—from data ingestion and transformation to feature engineering, model deployment, and monitoring.

The ideal candidate has hands-on experience working with operational systems such as Warehouse Management Systems (WMS) or ERP platforms, and is comfortable partnering closely with data scientists, ML engineers, and operational stakeholders to deliver high-quality, ML-ready datasets.

Key Responsibilities

ML-Focused Data Engineering

• Build, optimize, and maintain data pipelines specifically designed for machine learning workflows.
• Collaborate with data scientists to develop feature sets, implement data versioning, and support model training, evaluation, and retraining cycles.
• Participate in initiatives involving feature stores, model input validation, and monitoring of data quality feeding ML systems.

Data Integration from Operational Systems

Pipeline Automation & Orchestration

Data Governance & Quality

Cross-Functional Collaboration

Documentation & Mentorship

Required Qualifications

Technical Skills

Experience

Education & Credentials

Preferred Qualifications