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# Computer Vision Engineer

- **Company:** Everforth CyberCoders
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Computer Programming, Software Debugging, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Software Organization, Supervised Learning, Real Time Systems, Pytorch, Git, Scikit Learn, Information Technology, Machine Learning Operations, Multiaccess Edge Computing
- **Published:** September 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4e2697b01054849e

## About the Role

* 5+ years of professional experience in machine learning, computer vision, or related fields
 * Strong programming skills in Python
 * Experience with machine learning frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar technologies
 * Experience working with computer vision techniques including object detection, segmentation, classification, tracking, or image processing
 * Understanding of supervised, unsupervised, and semi-supervised learning methods
 * Strong debugging, optimization, and problem-solving skills
 * Experience using Git and modern software development practices
 * Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field

Preferred Qualifications

 * Master's degree or PhD in a related field
 * Experience deploying machine learning models into production environments
 * Experience with edge computing or real-time systems
 * Familiarity with anomaly detection, autoencoders, or traditional computer vision techniques
 * Experience working with industrial, robotics, automation, or operational technology environments

## Description

* Design, train, and deploy machine learning and computer vision models for production applications
 * Develop solutions involving object detection, image classification, tracking, anomaly detection, and related technologies
 * Conduct experimentation and prototyping to improve model performance and accuracy
 * Optimize models for scalability, reliability, and real-time inference
 * Build and maintain software pipelines that support model training, evaluation, and deployment
 * Collaborate with software engineers, product teams, and customers to solve complex technical challenges
 * Troubleshoot, debug, and improve machine learning systems in production environments
 * Stay current on emerging machine learning and computer vision technologies


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