Computer Vision Consultant

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for real-time object detection, tracking, and position estimation.
• Build solutions that interpret live video feeds and automatically identify and track moving objects without requiring manual intervention.
• Develop pixel-level tracking techniques to improve accuracy, reliability, and processing efficiency.
• Apply mathematical modeling, geometry, image processing, and advanced algorithmic techniques to solve complex tracking challenges.
• Transform two-dimensional visual information into three-dimensional object positioning and movement data.
• Integrate video streams with complementary data sources, including depth sensing and other tracking technologies, to improve spatial accuracy.
• Develop and refine algorithms that estimate object trajectories and predict movement based on visual and sensor data.
• Contribute to the evolution of existing AI- and GPU-based solutions toward more precise, pixel-based tracking methodologies.
• Support video processing, data transport, and cloud-based workflows for real-time applications.
• Collaborate with an established team of developers and engineers to accelerate development, troubleshoot technical challenges, and deliver production-ready solutions.
• Explore opportunities to leverage collected visual and tracking data for AI-driven automation and personalized content generation.

Required Qualifications

• Strong professional experience in computer vision, image processing, visual analytics, or a closely related technical discipline.
• Advanced problem-solving skills and a strong mathematical foundation.
• Hands-on experience developing algorithms for object detection, object tracking, motion estimation, or spatial positioning.
• Experience working with video data, image analysis, pixel-level processing, and real-time tracking systems.
• Ability to translate complex technical requirements into efficient, scalable software solutions.
• Proficiency in programming and algorithm development using languages and frameworks relevant to computer vision and AI.
• Experience working independently on complex engineering problems while collaborating effectively with a technical team.

Preferred Qualifications

• Experience with AWS or other cloud platforms, particularly video processing, data pipelines, and streaming workflows.
• Familiarity with GPU-accelerated computing and machine learning frameworks.
• Experience integrating data from multiple cameras, depth sensors, LiDAR, or other spatial tracking technologies.
• Knowledge of 2D-to-3D reconstruction, geometric modeling, camera calibration, and trajectory estimation.
• Experience optimizing computer vision systems for high-precision, real-time performance.
• Familiarity with generative AI, AI agents, or automated media and content workflows.