Job Summary We are seeking an experienced Artificial Intelligence Developer / Machine Learning Vision Engineer with solid expertise in Python, computer vision, image processing, and machine learning. The role focuses on developing production-ready Optical Character Recognition (OCR) solutions for real-time, large-scale image processing and transaction workflows.

Key Responsibilities
- Design, develop, and optimize computer vision models for object detection, image classification, and image quality assessment.
- Build and maintain OCR pipelines using third-party and custom machine learning engines.
- Develop production-ready Python applications using object-oriented programming, design patterns, and clean coding practices.
- Integrate machine learning components into distributed, message-driven architectures.
- Develop training, evaluation, and feedback pipelines for OCR and image classification models.
- Optimize model performance for low latency, high throughput, and near-real-time processing.
- Collaborate with architects, database teams, API developers, and DevOps teams on integration, deployment, and testing.
- Participate in system design discussions to improve scalability, maintainability, and reliability.
- Develop and maintain technical documentation, architecture diagrams, test plans, test scripts, and impact analysis reports.
- Troubleshoot issues, improve code quality, and follow established development and security standards.




- Work independently and collaborate with cross-functional teams to deliver enterprise-grade solutions. Required Qualifications
- Strong professional experience with Python development.
- Solid understanding of object-oriented programming, design patterns, clean code, and testable architectures.
- Hands‑on experience with image processing and computer vision frameworks such as OpenCV and Pillow.
- Experience with machine learning frameworks such as PyTorch or TensorFlow.
- Practical experience developing OCR solutions using Tesseract, PaddleOCR, EasyOCR, or custom models.
- Familiarity with object detection models such as YOLO, Faster R‑CNN, or SSD.
- Knowledge of image classification, feature extraction, and model evaluation metrics.
- Experience building and deploying production‑ready machine learning applications.
- Proficiency in Microsoft Office 365 and Azure DevOps testing tools.
- Strong analytical, troubleshooting, documentation, and communication skills. Preferred Qualifications
- Experience integrating machine learning models into distributed enterprise systems.
- Experience optimizing computer vision models for real-time processing.
- Ability to translate machine learning research into scalable production solutions.
- Experience with SAP or other enterprise business applications.
- Knowledge of ITIL/ITSM practices and methodologies.
- Bachelor’s degree in Business Management, Information Systems, Computer Science, or a related field. Equivalent education and experience may be considered.

📌 Artificial Intelligence Developer (Saint John)
🏢 JPS Tech Solutions
📍 Saint John