Remote Senior CV Engineer for Construction Imagery

Ryz Labs; Buenos Aires; A distancia; ARS 137.157.000 - 198.116.000; Jornada completa

Descripción de la vacante

Ryz Labs is seeking a Senior Computer Vision / ML Engineer for a client project focused on automated quantity takeoff in heavy civil and highway construction. You will own the mission-critical tasks of identifying materials, surfaces, and construction features from drawings, PDFs, and imagery.

You will collaborate with a teammate focused on geometry and measurement, turning detections into reliable quantities and priceable outcomes.

Formación

• 5+ years building production Computer Vision / ML systems.
• Strong Python and PyTorch experience.
• Production experience with detection and segmentation on real-world imagery.
• Experience with aerial, satellite, drone, or comparable raster imagery.
• Strong knowledge of OpenCV and classical CV techniques.
• Experience with messy, domain-specific data and human-in-the-loop systems.
• Understanding of PDF internals, vector geometry, and/or document AI.
• Strong written and verbal English.

Responsabilidades

• Build CV/ML pipelines for engineering drawings, PDFs, aerial and satellite imagery.
• Extract information from vector and raster PDFs, including degraded/scanned drawings.
• Develop detection and segmentation models for materials and infrastructure.
• Combine information from drawings, specifications, and imagery, identifying discrepancies between sources.
• Build the ML infrastructure around the models: labeling, datasets, evaluation, regression testing, confidence, and provenance.
• Work directly with domain experts to create ground truth and improve the system.
• Prioritize reliability and completeness—“not determinable” is better than a low-confidence guess.

Conocimientos

Python

PyTorch

Computer Vision

Aerial imagery

OpenCV

Human-in-the-loop

PDF/document AI

English proficiency

Descripción del empleo

Ryz Labs is seeking a Senior Computer Vision / ML Engineer for a client project focused on automated quantity takeoff in heavy civil and highway construction. You will own the mission-critical tasks of identifying materials, surfaces, and construction features from drawings, PDFs, and imagery.

You will collaborate with a teammate focused on geometry and measurement, turning detections into reliable quantities and priceable outcomes.