Computer Vision Engineer

Job Title: Computer Vision Engineer

Location: Dallas, TX or Remote

Type: Full-time/Part-time/Contract

Computer Visionaries.AI is a Dallas-based R&D and consulting firm that specializes in Computer Vision & AI technology. We empower organizations to solve complex problems through AI-enabled actionable insights. Our approach emphasizes unique applications of computer vision, retrofitting AI into existing workflows, driving long-term innovation, and delivering high-value, low-cost AI solutions. We focus on crafting highly creative AI approaches that provide sustainable and impactful results across various industries.

Job Description

Join CV.AI as a Computer Vision Engineer/Developer, where you will contribute to developing and deploying advanced computer vision solutions. This role involves implementing AI models, optimizing performance, and integrating solutions across various applications, including handling real-time RTSP camera feeds.

Responsibilities

• Develop and implement computer vision algorithms for tasks such as object detection, classification, and multi-object tracking.
• Work with RTSP camera feeds to enable real-time video processing and analysis.
• Optimize AI models for deployment on edge devices and cloud platforms.
• Integrate computer vision solutions into existing systems and workflows.
• Troubleshoot and resolve issues related to computer vision model deployment and performance.
• Stay up to date with the latest advancements in computer vision and AI to continuously improve solutions.

Minimum Requirements

• Fluent in Python; proficiency in C is a plus.
• Expert in computer vision libraries such as OpenCV, Scikit-Image, and PIL.
• Experience with RTSP camera feeds and real-time video streaming.
• Expert in machine learning platforms like PyTorch and/or TensorFlow.
• Familiar with object detection, classification, and multi-object tracking models and algorithms.
• Experience with CUDA for GPU-accelerated computing.
• Solid background in traditional computer vision techniques, such as camera calibration, feature extraction, and movement analysis.
• Understanding of why tools and algorithms work, not just how to use them.

Preferred Qualifications

• Bachelor’s or master’s degree in computer science or a related field.
• Familiarity with cloud computing services (AWS, Azure, Google Cloud).
• Experience in model optimization techniques (quantization, pruning).
• Knowledge of edge computing and embedded systems.