Intelligent Document Processing (IDP) Engineer

Role & responsibilities

• Design, develop, and implement end-to-end IDP solutions, from document ingestion to data extraction, validation, and integration with downstream systems.
• Utilize and integrate various AI/ML techniques, including OCR, computer vision, natural language processing (NLP), and deep learning, for document understanding and data extraction.
• Develop and train machine learning models for document classification, entity recognition, and data validation.
• Work with a variety of document types, including invoices, contracts, forms, purchase orders, and other business documents.
• Collaborate with product managers, data scientists, and other engineers to understand requirements, define technical specifications, and deliver high-quality solutions.
• Optimize and fine-tune IDP models for performance, accuracy, and scalability.
• Implement data quality checks and validation rules to ensure the integrity of extracted information.
• Stay up-to-date with the latest advancements in IDP, AI, ML, and NLP technologies and recommend their application.
• Participate in code reviews, testing, and deployment processes.
• Troubleshoot and resolve issues related to IDP systems.

Preferred candidate profile

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in developing and deploying Intelligent Document Processing (IDP) or similar data extraction solutions.
• Strong programming skills in Python (or similar languages like Java, C#) with experience in relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV, SpaCy, NLTK).
• In-depth understanding of OCR technologies and their practical applications.
• Proven experience with machine learning and deep learning concepts, particularly in the context of computer vision and natural language processing.
• Experience with document parsing, information extraction, and data normalization techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their relevant services for AI/ML and data processing.
• Experience with version control systems (e.g., Git).
• Strong problem-solving skills and an analytical mindset.
• Excellent communication and collaboration skills.