Elios Talent
Overview
Title:
Computer Vision Engineer
Location:
Flexible / Remote
Employment Type:
Full-Time
Compensation:
$125,000 – $200,000 Role Summary We are seeking a Computer Vision Engineer to design and deliver advanced applications in object detection, image classification, and video analysis. You will build real-time systems for processing visual data and implement neural networks that power image recognition, automated quality inspection, and other high-value use cases. Job Information Key Responsibilities
Develop computer vision models for object detection, classification, and video analytics. Build and optimize real-time image and video processing systems. Implement convolutional and recurrent neural networks for visual tasks. Leverage CUDA and GPU acceleration to optimize performance. Collaborate with cross-functional teams to integrate computer vision into production systems. Conduct experimentation and benchmarking to improve accuracy and efficiency. Requirements
3–6 years of experience in computer vision engineering or related roles. Strong knowledge of OpenCV, CNN/RNN architectures, and image processing techniques. Proficiency in Python and frameworks such as PyTorch. Hands-on experience with CUDA and GPU-based optimizations. Proven ability to design, train, and deploy vision models in production. Strong problem-solving skills and an innovation mindset. About the Opportunity
This role is ideal for someone passionate about applying computer vision and deep learning to real-world problems. You will design scalable systems that bring automation, accuracy, and intelligence to visual data challenges. Why Join
Contribute to impactful AI-driven applications. Work at the intersection of vision, AI, and real-time systems. Competitive compensation and opportunities for innovation.
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Title:
Computer Vision Engineer
Location:
Flexible / Remote
Employment Type:
Full-Time
Compensation:
$125,000 – $200,000 Role Summary We are seeking a Computer Vision Engineer to design and deliver advanced applications in object detection, image classification, and video analysis. You will build real-time systems for processing visual data and implement neural networks that power image recognition, automated quality inspection, and other high-value use cases. Job Information Key Responsibilities
Develop computer vision models for object detection, classification, and video analytics. Build and optimize real-time image and video processing systems. Implement convolutional and recurrent neural networks for visual tasks. Leverage CUDA and GPU acceleration to optimize performance. Collaborate with cross-functional teams to integrate computer vision into production systems. Conduct experimentation and benchmarking to improve accuracy and efficiency. Requirements
3–6 years of experience in computer vision engineering or related roles. Strong knowledge of OpenCV, CNN/RNN architectures, and image processing techniques. Proficiency in Python and frameworks such as PyTorch. Hands-on experience with CUDA and GPU-based optimizations. Proven ability to design, train, and deploy vision models in production. Strong problem-solving skills and an innovation mindset. About the Opportunity
This role is ideal for someone passionate about applying computer vision and deep learning to real-world problems. You will design scalable systems that bring automation, accuracy, and intelligence to visual data challenges. Why Join
Contribute to impactful AI-driven applications. Work at the intersection of vision, AI, and real-time systems. Competitive compensation and opportunities for innovation.
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