Develop production-ready OCR solutions with Python and computer vision expertise for real-time, large-scale image processing workflows. Apply machine learning to image-driven transactions.

As an experienced Artificial Intelligence Developer and Machine Learning Vision Engineer, you will build production applications using Python, OpenCV, Pillow, and machine learning frameworks. The work spans OCR pipelines, object detection, image classification, and image quality assessment. You will integrate models into distributed, message-driven architectures and support enterprise-grade delivery.

Key Responsibilities:
Design and optimize computer vision models for image analysis
Build OCR pipelines with custom and third-party engines
Develop clean, testable production-ready Python applications




Optimize models for low latency and high throughput
Create training, evaluation, and feedback pipelines

Requirements:
Solid qualified experience developing with Python
Hands-on experience with OpenCV, Pillow, or computer vision frameworks
Experience with PyTorch or TensorFlow machine learning frameworks
Practical OCR experience with Tesseract, PaddleOCR, EasyOCR, or custom models
Knowledge of object detection, classification, and evaluation metrics

Apply Python, OCR, and computer vision expertise to develop scalable machine learning applications supporting real-time image processing.

📌 Machine Learning Vision Engineer New Brunswick
🏢 JPS Tech Solutions
📍 New Brunswick