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# AI/ML Engineer - Computer Vision

- **Company:** Everforth CyberCoders
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, 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, Real-time Inference, Information Technology, Autoencoders, Machine Learning Operations, Multiaccess Edge Computing
- **Published:** October 22, 2026
- **Apply:** https://www.juju.com/job/14_6a36091f

## About the Role

* 2+ 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