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# Machine Learning Engineer (Computer Vision)

- **Company:** Paradox, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $18,000.0 - $30,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Vision, Program Optimization, Nvidia CUDA, Data Files, Machine Learning, Object Detection, Pytorch, ONNX (Open Neural Network Exchange) Format, Performance Monitor, Machine Learning Operations, TensorRT, Docker
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e6f626ebd15e3b54

## About the Role

* 2+ years of experience in Machine Learning / Computer Vision
 * Proven experience training and fine-tuning YOLO models (required)
 * Strong understanding of object detection, ByteTrack, and Re-ID pipelines
 * Experience with PyTorch, dataset annotation, and model optimization
 * Experience deploying AI models on edge and cloud GPU environments
 * Strong analytical and problem-solving skills

Nice to Have

 * Experience with TensorRT, ONNX, or OpenVINO
 * Familiarity with Docker and MLOps workflows
 * Experience with CUDA and GPU optimization
 * Knowledge of multi-camera video analytics

## Description

Paradox Software House is seeking a skilled Machine Learning Engineer for a contract-based opportunity. The ideal candidate has hands-on experience training and fine-tuning YOLO models (YOLOv8, YOLOv11, YOLOX) for real-world computer vision applications.

You will work on multi-camera detection, object tracking, and re-identification pipelines for production-grade AI systems., * Train, fine-tune, and optimize YOLO models on custom datasets

 * Develop and improve detection, tracking, and re-identification pipelines
 * Optimize models for deployment on edge devices and cloud GPU environments
 * Collaborate with engineering teams to deliver scalable AI solutions
 * Monitor performance and continuously improve model accuracy and efficiency


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