Machine Learning Engineer (Computer Vision)

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

• 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