Machine Learning Computer Vision Engineer

LingaTech-posted 12 days ago
Mid Level
Hybrid • Middletown, PA
11-50 employees
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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.

  • 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.
  • 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.
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