Machine Learning Data Engineer (Contract)

Role Summary:

• Our platform combines AI-powered gate automation, computer vision, and operational software to help logistics operators run smarter facilities.
• We need someone to own accuracy end-to-end: measuring, understanding misclassifications, and turning that into labeled data for model improvement.

Project Details:

• Own tracking and reporting of CV accuracy metrics per customer and identifier type.
• Investigate misclassifications, categorize root causes, and curate datasets for retraining.
• Build and improve the continuous learning pipeline to ship new models weekly.

What You Can Expect:

• Direct ownership over the metric that decides whether our product works in the real world.
• A small team that moves fast, with real influence on the ML roadmap.
• Problems grounded in the physical world: gates, cameras, trucks, and yards.

Qualifications:

• 3+ years in a data quality, ML data engineering, or applied ML role with CV experience.
• Comfortable writing Python for data analysis, pipeline automation, and dataset tooling.
• Strong analytical rigor and experience with dataset annotation tools like Roboflow or Labelbox.