Computer Vision Engineer

Description

CodeValue is a leading software engineering and consulting company, delivering innovative technology solutions for startups, enterprises, and global organizations. Our teams work on cutting-edge projects across AI, computer vision, 3D technologies, and intelligent systems, solving complex engineering challenges with real-world impact.

We are looking for a Computer Vision Engineer to join our AI & Computer Vision team. In this role, you will research, design, and develop advanced computer vision algorithms for images, video, and 3D data, contributing to innovative AI-driven solutions and high-precision systems. Depending on your background and expertise, you will focus on one or more of the following domains: Classical Computer Vision & 3D Processing Segmentation & AI-based Vision Models Synthetic Data Generation & Quality Evaluation Multi-Sensor Vision, Registration, SLAM, and Photogrammetry You will collaborate closely with software engineers, AI researchers, and product teams to develop scalable, high-performance computer vision solutions for real-world applications.

Responsibilities

• Research, design, and develop advanced computer vision algorithms for images, video, and 3D data.
• Develop and optimize AI-based and classical computer vision solutions.
• Design algorithms for segmentation, registration, SLAM, sensor calibration, photogrammetry, and 3D processing.
• Develop and improve synthetic data generation, validation, and quality evaluation methods for AI model training.
• Build metrics and automated tools to assess data quality, model performance, and algorithm accuracy.
• Collaborate with multidisciplinary teams to integrate computer vision solutions into production systems.
• Continuously evaluate and improve algorithm performance, robustness, and scalability.

Requirements

• Bachelor's degree or higher in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field.
• 3+ years of hands-on experience developing Computer Vision algorithms.
• Experience in one or more of the following areas:
• Classical Computer Vision
• Segmentation
• Synthetic Data
• Registration
• SLAM
• Photogrammetry
• 3D Processing
• Multi-Sensor Vision
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in a multidisciplinary team.