Artificial Intelligence Engineer

Job Title: Artificial Intelligence Developer Location: Hybrid - Middletown, PA 17057 (Hybrid – onsite work usually 3-4 days per month) Duration: Long-term Contract Description: DSI is seeking an Artificial Intelligence Developer (ML Vision Engineer) with a strong foundation in software engineering and proven expertise in image processing, computer vision, and machine learning. The candidate will play a key role in an Optical Character Recognition (OCR) project, powering real-time, large-scale image-based transaction processing. This role requires both technical depth and practical software development skills to deliver production-ready AI solutions. Responsibilities: • 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 ML components into distributed, message-driven systems. • Implement data-driven training, evaluation, and feedback loops for OCR and image classifiers. • Optimize model performance for near real-time workflows (latency and throughput). • Participate in system-level design discussions, ensuring scalability, maintainability, and adaptability. • Work with database, API, and DevOps teams to ensure smooth deployment and testing. • Build frameworks and production systems, not just proof-of-concept notebooks. • Document technical and functional designs, test plans, test scripts, impact analyses, and best practices. • Foster strong working relationships with technology staff, business owners, vendors, and clients. • Lead and participate in enterprise system project team activities. • Perform assigned tasks independently while adhering to standards, policies, and procedures. Requirements: • Bachelor’s degree in Business Management or Information Systems, or equivalent combination of education and experience. • Strong professional experience with Python (must be clearly demonstrated in resume). • Solid background in software engineering: OOP, design patterns, clean code, testable architectures. • Hands-on experience with image processing/computer vision frameworks (OpenCV, Pillow). • Experience with machine learning frameworks (PyTorch, TensorFlow). • OCR-related experience (Tesseract, PaddleOCR, EasyOCR, or custom models). • Familiarity with object detection frameworks (YOLO, Faster R-CNN, SSD, etc.). • Knowledge of classification, feature extraction, and evaluation metrics for vision tasks. • Proficiency in Microsoft Office 365 (Teams, Word, Excel, PowerPoint) and Microsoft ADO Testing Module. Desired Skillset: • Strong software engineering mindset focused on code quality, maintainability, and design. • Hands-on ML Vision practitioner with applied experience in OCR, classification, and detection. • Ability to translate research methods into scalable, production-ready solutions. • Comfortable working in multi-module, distributed system environments. • Strong communication skills to articulate technical decisions and trade-offs. • Experience with Enterprise Business Solutions (SAP projects). • Familiarity with ITIL / ITSM practices and methodologies.