Artificial Intelligence

Dice is the leading career destination for tech experts at every stage of their careers. Our client, DMV IT Consulting, is seeking the following. Apply via Dice today!

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.