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:
- Strong 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 (Fredericton)
🏢 JPS Tech Solutions
📍 Fredericton