Artificial Intelligence Developer

Job Summary

We are seeking an experienced Artificial Intelligence Developer / Machine Learning Vision Engineer with strong 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.

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