Artificial Intelligence Developer

Introduction:

We are looking for a Machine Learning (ML) Vision Engineer with a solid foundation in software development and proven experience in image processing, computer vision, and machine learning. This role is central to our Optical Character Recognition (OCR) project, which powers real-time, large-scale image-based transaction processing.

Responsibilities:

• Design, implement, and optimize Machine Learning based computer vision components, including object detection and image classification models.
• 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, 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.
• 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 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 organization.

Requirements:

Minimum Experience:

• Strong professional experience with Python.
• 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 Microsoft Office 365 suite.

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 and ITIL/ITSM practices.

Certifications / Education:

• Bachelor’s degree in business management or information systems.
• Equivalent combination of education and/or experience may be accepted.

Engagement Requirements:

• Candidate’s location is preferred to be within the Continental United States.
• Work location will be virtual/remote until further notice.
• In-person interviews or work sessions with stakeholders will be conducted at the organization's facilities.
• The resource may be required to provide onsite post go-live support activities.
• No additional compensation for travel required if the resource is based within a 3-hour commuting distance.