Artificial Intelligence Developer

Hiring: W2 Candidates Only

Description of Duties

• Design, implement, and optimize Machine Learning based computer vision components, including:
  • Object detection and image classification models.
  • OCR pipelines integrating third-party and in-house engines.
  • Image quality assessment classifiers (e.g., overexposed, underexposed, obstructed).
• Develop robust, production-ready Python code with strong Object Oriented Design (OOD) principles.
• Collaborate with system architect to integrate Machine Learning components into a distributed, message-driven architecture.
• Implement data-driven training, evaluation, and feedback loops for OCR and image classifiers.
• Optimize model performance for near real-time transaction workflows (latency and throughput).
• Participate in system-level design discussions, ensuring scalability, maintainability, and adaptability.
• Work closely with database, Application Programming Interface (API), and DevOps teams to ensure smooth deployment and testing.
• Build frameworks and systems, not just proof-of-concept notebooks.
• Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, best practices for others to follow, plus any other documentation as required by the PTC. This documentation shall follow the format and/or templates as instructed by the PTC.
• Develop and maintain a productive working relationship with technology staff, business owners, project sponsors, vendors, and key clients.
• Lead and participate in project team activities for system work efforts related to enterprise systems.
• Work independently to accomplish the tasks and duties assigned.
• Adhere to and follow all PTC standards, policies, and procedures.
• Utilize various software and/or technology tools to perform job duties.
• Perform tasks and other duties as related to this position and role and assigned by the PTC.

Minimum Experience

• Strong professional experience with Python (must be clearly demonstrated in resume).
• Solid background in software engineering: Object Oriented Programming (OOP), design patterns, clean code, and testable architectures.
• Experience with image processing and computer vision frameworks (e.g., OpenCV, Pillow).
• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
• OCR-related experience (such as Tesseract, PaddleOCR, EasyOCR, or custom models).
• Familiarity with object detection (such as YOLO, Faster R-CNN, SSD, etc.).
• Knowledge of classification, feature extraction, and evaluation metrics for vision tasks.
• Proficient in the Microsoft Office 365 suite of business software including Teams, Word, Excel, and PowerPoint, plus proficient in Microsoft ADO Testing Module.

Desired Skillset

• Software Developer grade of engineer who thinks in terms of code quality, maintainability, and design.
• Hands-on ML Vision practitioner with applied experience in OCR, classification, and detection.
• Demonstrates innovative thinking, with the ability to translate research methods into production.
• Comfortable working in a multi-module, distributed system environment.
• Strong communicator, able to articulate technical choices and trade-offs.
• Additional beneficial skills include:
  • Enterprise Business Solutions, specifically SAP projects.
  • ITIL / ITSM practices and methodologies.

Certifications / Education

Bachelor's degree in business management or information systems.

Equivalent combination of education and/or experience may be accepted.