Computer Vision Engineer

Contract directly with the client
Remote - Full-time

Only for candidates based in Latam

We are looking for a Computer Vision Engineer. Ryz Labs is partnering with a client building an AI-powered platform forautomated quantity takeoff in heavy civil and highway construction.

As a Senior Computer Vision / ML Engineer, you'll own the“what is it?” problem—identifying materials, surfaces, and construction features from engineering drawings, PDFs, aerial imagery, and satellite imagery.

You'll work closely with another engineering role focused ongeometry and measurement, turning your detections into reliable, priceable quantities.

What You'll Do

• Build CV/ML pipelines forengineering drawings, PDFs, aerial and satellite imagery.
• Extract information from bothvector and raster PDFs, including degraded/scanned drawings.
• Develop detection and segmentation models for materials and infrastructure such asasphalt, concrete, pavement, drainage, pipes, signs, guardrails, and lane markings.
• 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.

What We're Looking For

Required:

• 5+ years building and shippingproduction Computer Vision / ML systems.
• StrongPython and PyTorch experience.
• Production experience withdetection and segmentation on real-world imagery.
• Experience withaerial, satellite, drone, or comparable raster imagery.
• Strong knowledge ofOpenCV and classical CV techniques.
• Experience withmessy, domain-specific data and human-in-the-loop systems.
• Understanding ofPDF internals, vector geometry, and/or document AI, or the ability to learn quickly.
• Strong written and verbal English.

Nice to have:

• Experience withgeospatial imagery, construction, document AI/OCR, CAD vectorization, or autonomous vehicle perception.
• 3D experience withphotogrammetry, point clouds, terrain/surface models, or cut & fill.
• Experience across bothdocument vision and aerial/geospatial CV.