Artificial Intelligence Developer

Global Data Consultants • Harrisburg, PA

83d

About The Position

GDC IT Solutions is currently seeking a Machine Learning (ML) Vision Engineer to work in a hybrid capacity, with 3-4 days on-site per month in Harrisburg, PA. As a Machine Learning Vision Engineer, you will be responsible for designing and integrating cutting-edge OCR and computer vision solutions into high-throughput, real-time image processing workflows.

Requirements

• Strong professional experience with Python (must be clearly demonstrated in resume).
• Solid background in software engineering, including OOP, design patterns, clean code principles, and testable architectures.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience with computer vision and image processing frameworks such as OpenCV or Pillow.
• Practical experience with OCR tools and technologies (e.g., Tesseract, PaddleOCR, EasyOCR, or custom solutions).
• Familiarity with object detection models such as YOLO, Faster R-CNN, or SSD.
• Knowledge of classification techniques, feature extraction, and evaluation metrics for vision tasks.
• Proficient in Microsoft Office 365 tools including Teams, Word, Excel, and PowerPoint.
• Experience using Microsoft Azure DevOps (ADO) Testing Module.
• Bachelor's degree in Business Management, Information Systems, Computer Science, or a related field.
• Equivalent combination of education and/or experience may be accepted.

Nice To Haves

• Strong software development mindset focused on code quality, maintainability, and scalable design.
• Applied experience in OCR, classification, and object detection projects.
• Demonstrated ability to convert research into production-ready implementations.
• Experience working in multi-module, distributed system environments.
• Strong communication skills with the ability to explain technical decisions and trade-offs.
• Familiarity with enterprise business solutions, especially SAP.
• Knowledge of ITIL or ITSM methodologies and best practices.

Responsibilities

• Design, implement, and optimize machine learning-based computer vision components, including object detection, image classification, and image quality assessment models.
• Develop OCR pipelines using both third-party and in-house engines.
• Write robust, production-ready Python code using strong object-oriented design principles.
• Integrate ML components into a distributed, message-driven system architecture in collaboration with system architects.
• Build scalable frameworks and production systems beyond proof-of-concept notebooks.
• Implement training, evaluation, and feedback loops for OCR and image classification models.
• Optimize model performance to support real-time transaction processing with high throughput and low latency.
• Participate in system-level design discussions to ensure scalability, maintainability, and adaptability.
• Collaborate with API, database, and DevOps teams to support deployment and testing efforts.
• Fully document all technical work, including designs, test plans, impact analyses, and lessons learned, using standard templates.
• Maintain strong working relationships with internal teams, sponsors, vendors, and clients.
• Participate in and lead project activities related to enterprise systems.
• Work independently to complete assigned tasks.
• Follow all established PTC standards, policies, and procedures.
• Use various software tools and platforms to support job functions.
• Perform additional duties as assigned by the PTC.

Benefits

• Cutting Edge Technology and Innovation
• Career Growth Opportunities
• Employee-Centric Environment
• Comprehensive Benefits Package
• Holiday and Vacation

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees