Azure Document AI and Data Engineer

Position summary Seeking a senior Document AI and Data Engineer to implement OCR, document classification, metadata extraction, confidence scoring, structured-data, model-evaluation, and controlled retraining pipelines. Responsibilities * Configure OCR, layout-analysis, classification, and extraction models. * Define schemas, labels, validation rules, and structured outputs. * Implement file-integrity, text-layer, processability, and duplicate checks. * Process digital documents, scanned files, images, and degraded source materials. * Retain confidence values, page references, text spans, and source regions. * Build normalization, transformation, and data-quality pipelines. * Create training, validation, test, and golden datasets. * Evaluate model accuracy, corrections, missing fields, and false predictions. * Manage model versioning, promotion, rollback, and retraining. * Preserve source, model, dataset, and reviewer provenance. Required skills * Eight or more years in data engineering, document AI, OCR, machine learning, or related data-processing disciplines * Azure AI Document Intelligence Studio, APIs, SDKs, and custom models * Read, Layout, classification, template, and neural extraction models * PDF analysis, text-layer detection, image preprocessing, and degraded-scan handling * Python, JSON, SQL, Blob Storage, Service Bus, Functions, and Azure SQL * Document labeling, schema design, field validation, and source-region mapping * Confidence, false-positive, false-negative, and missing-field analysis * Golden datasets, model registries, versioning, regression testing, promotion, and rollback * Provenance, model lineage, dataset lineage, and reviewer-correction tracking * Production pipeline monitoring, exception handling, and performance tuning Key deliverables * OCR and document-processing pipeline * Classification and metadata-extraction models * Metadata schemas, validation rules, and structured outputs * Golden training and evaluation datasets * Model registry and controlled retraining framework Preferred qualifications * Production Azure AI Document Intelligence experience * Strong Python, SQL, Azure data-engineering, and machine-learning pipeline experience * Experience with large or historically diverse document collections * Azure Data Engineer, Azure AI Engineer, or comparable certification Pay: $100,000.00 - $110,000.00 per year Work Location: In person