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.

Computer Visionaries.AI

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Computer Vision Engineer