Computer Vision Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Develop computer vision and machine learning pipelines for engineering drawings, PDFs, aerial imagery, and satellite imagery.

• Extract data from vector and raster PDFs, including degraded and scanned drawings.

• Create detection and segmentation models for various materials and infrastructure, including asphalt, concrete, pavement, drainage, pipes, signs, guardrails, and lane markings.

• Integrate information from drawings, specifications, and imagery while identifying discrepancies among sources.

• Establish machine learning infrastructure surrounding models, such as labeling, datasets, evaluation, regression testing, confidence, and provenance.

• Collaborate directly with domain experts to establish ground truth and enhance the system.

• Emphasize reliability and completeness, preferring “not determinable” over low-confidence predictions.

• Take ownership of identifying materials, surfaces, and construction features for an AI-driven quantity-takeoff platform.

• Work alongside an engineering role concentrated on geometry and measurement to ensure reliable and cost-effective quantities.

⛳️ Requirements

• 5+ years of experience in building and deploying production-level Computer Vision / ML systems.

• Proficient in Python and PyTorch.

• Hands-on experience with detection and segmentation on real-world imagery.

• Familiarity with aerial, satellite, drone, or similar raster imagery.

• In-depth knowledge of OpenCV and classical computer vision techniques.

• Experience handling messy, domain-specific data and implementing human-in-the-loop systems.

• Understanding of PDF internals, vector geometry, and/or document AI, or the capacity to learn rapidly.

• Excellent written and verbal communication skills in English.

• Background in geospatial imagery, construction, document AI/OCR, CAD vectorization, or autonomous vehicle perception.

• Experience in 3D with photogrammetry, point clouds, terrain/surface models, or cut & fill.

• Proficiency in both document vision and aerial/geospatial computer vision.

🏝️ Benefits

• Direct contract with the client.

• Opportunity for remote work.

• Full-time schedule.