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 for automated 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. What You’ll Do - Build CV/ML pipelines for engineering drawings, PDFs, aerial and satellite imagery.

- Extract information from both vector and raster PDFs, including degraded/scanned drawings.
- Develop detection and segmentation models for materials and infrastructure such as asphalt, 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 - 5+ years building and shipping 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, or the ability to learn quickly.
- Strong written and verbal English. Nice to have - Experience with geospatial imagery, construction, document AI/OCR, CAD vectorization, or autonomous vehicle perception.
- 3D experience with photogrammetry, point clouds, terrain/surface models, or cut & fill.
- Experience across both document vision and aerial/geospatial CV.

📌 Computer Vision Engineer (Argentina)
🏢 Ryz Labs
📍 Argentina