AI Engineer (Text Document Extraction and Inference)

Role Outline

Role & Responsibilities:

• Develop and implement document parsing and structured data extraction techniques.
• Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction.
• Optimize rulebased and statistical models for document classification and entity recognition.
• Design feature engineering strategies for improving inference accuracy.
• Work with structured and semistructured data (PDFs, scanned documents, XML, JSON).
• Implement knowledgebased inference models for decisionmaking applications.
• Collaborate with data engineers to build scalable document processing pipelines.
• Conduct error analysis and improve extraction accuracy through iterative refinements.
• Stay updated with advancements in traditional NLP and document processing techniques.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field.
• 3+ years of experience in document extraction and inference modeling.
• Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract).
• Expertise in OCR technologies, regular expressions, and rule-based NLP.
• Experience with SQL and database management for handling extracted data.
• Knowledge of probabilistic models, optimization techniques, and statistical inference.
• Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognize

Preferred Qualifications:

Experience with graphbased document analysis and knowledge graphs.

Knowledge of time series analysis for document-based forecasting.

Exposure to reinforcement learning for adaptive document processing.

Understanding of the credit / loan processing domain