ComputerVisionEngineer

## Accountabilities Design, develop, and deploy computer vision models for real-world applications including object detection, segmentation, and 3D scene understanding. Train and fine-tune AI models using custom datasets, ensuring high performance and robustness in production environments. Work on Structure-from-Motion, 3D reconstruction, photogrammetry, point cloud processing, and mesh generation workflows. Develop and maintain scalable backend systems using microservice architecture, APIs, and NoSQL databases. Deploy and optimize applications in cloud environments, ensuring reliability and performance at scale. Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end platforms. Requirements: Proven experience building and deploying computer vision solutions for real-world use cases. Strong proficiency in Python and C++, with hands-on experience using OpenCV, PyTorch, and related frameworks. Solid understanding of deep learning architectures for object detection, segmentation, and related vision tasks. Experience working with 3D vision topics such as SLAM, photogrammetry, and spatial reconstruction. Familiarity with geospatial data, point clouds, and visual-inertial systems. Knowledge of cloud platforms and production deployment practices. Experience with microservices, APIs, and NoSQL databases in production systems. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field preferred. Self-starter mindset with strong ownership, resilience, and a collaborative attitude. Ability to work effectively in EST working hours to collaborate with international teams. Benefits: Competitive salary range: $120,000 – $130,000 (semi-monthly structure). 100% remote work flexibility. Flexible paid time off (PTO). Comprehensive medical, dental, vision, and life insurance coverage. People-first culture emphasizing collaboration and inclusivity. Opportunity to work on cutting-edge AI and 3D computer vision tech