Computer Vision Engineer

1 week ago


dallas, United States Computer Visionaries.AI Full time

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.


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