Computer Vision Engineer

Elios Talent; United States; Remote; USD 125,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Opportunities for innovation

Impactful AI-driven applications

Job summary

A technology solutions provider is seeking a Computer Vision Engineer to develop cutting-edge computer vision applications. This role emphasizes deep learning and image recognition, focusing on building scalable systems for real-world challenges. Ideal candidates will have 3-6 years of experience, proficiency in OpenCV and Python, and expertise in optimizing performance through CUDA. Flexible remote work is offered with competitive compensation ranging from $125,000 to $200,000.

Qualifications

• 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.

Responsibilities

• Design and deliver advanced computer vision applications for object detection, image classification, and video analysis.
• 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.

Skills

OpenCV

CNN/RNN architectures

Image processing techniques

Python

PyTorch

CUDA

GPU-based optimizations

Problem-solving skills

Job description

Overview

Develop cutting-edge computer vision applications. Apply deep learning to image recognition and automation.

Job Information

Title: Computer Vision Engineer

Location: Flexible / Remote

Employment Type: Full-Time

Compensation: $125,000 – $200,000

Responsibilities

• Design and deliver advanced computer vision applications for object detection, image classification, and video analysis.
• 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.

Qualifications

• 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.

Job Details

New York, NY (remote-friendly) | Title: Computer Vision Engineer | Location: Flexible / Remote | Compensation: $125,000 – $200,000