Machine Learning Engineer

Location: Middletown, PA Position Type: Hybrid Hybrid Schedule: Onsite 3-4 days per month Contract Length: 8 months + extensions Position Overview: We are seeking a Machine Learning Vision Engineer to design and implement advanced OCR and computer vision solutions that power large-scale, real-time image-based transaction processing. This role blends software engineering best practices with applied ML to deliver scalable, production-ready systems that integrate seamlessly into distributed architectures. Required Skills: • 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 frameworks (e.g., YOLO, Faster R-CNN, SSD). • Knowledge of classification, feature extraction, and evaluation metrics for vision tasks. • Proficient with Microsoft Office 365 suite (Teams, Word, Excel, PowerPoint) and Microsoft ADO Testing Module. • Bachelor’s degree in business management or information systems, or an equivalent combination of education and experience. Duties: • Design, implement, and optimize ML-based computer vision components, including object detection, image classification, OCR pipelines, and image quality assessment classifiers. • Develop robust, production-ready Python code leveraging Object Oriented Design (OOD) principles. • Collaborate with system architects to integrate ML components into distributed, message-driven architectures. • Implement training, evaluation, and feedback loops for OCR and image classifiers. • Optimize models for performance in near real-time transaction workflows with low latency and high throughput. • Participate in system-level design discussions to ensure scalability, maintainability, and adaptability. • Work closely with database, API, and DevOps teams for smooth deployment and testing. • Build frameworks and systems suitable for production, beyond proof-of-concept work. • Fully document technical and functional designs, test plans, impact analysis, lessons learned, and best practices. • Develop and maintain productive relationships with technical teams, business stakeholders, vendors, and clients. • Lead and participate in project team activities related to enterprise system enhancements. • Work independently to complete assigned tasks and responsibilities. • Adhere to organizational standards, policies, and procedures. • Utilize various software and technology tools as needed for job duties. • Perform other related duties as assigned.