Azure AI Document Intelligence Engineer-Local

E-Solutions

Irving, TX, United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Computer Vision Microsoft Azure Monitoring of Systems JSON Python (Programming Language) Machine Learning Microsoft Dynamics Oracle (Applications) Azure Machine Learning SAP (Applications) Search Technologies

+8 more

SQL Databases SAP Ariba Coupa Procurement Machine Learning Operations Restful APIs Document Classification Software Version Control Databricks

Job description

Design, train, and optimize AI-powered invoice and contract OCR solutions targeting 98-99%+ extraction accuracy.
Analyze documents across suppliers, countries, languages, formats, and scan qualities; define document taxonomy and extraction schemas.
Work with Azure AI Document Intelligence prebuilt, custom neural, template, classification, and composed models.
Build and maintain custom document classification and extraction models, including labeled/versioned datasets.
Implement document preprocessing for rotation, skew, noise, resolution, and page separation.
Develop confidence scoring, validation rules, and human-in-the-loop review workflows.
Validate critical fields such as totals, taxes, currencies, dates, PO/supplier matching, duplicates, and cross-field consistency.
Build automated evaluation pipelines using accuracy, precision, recall, F1, false-positive/negative rates.
Perform error analysis, model monitoring, drift detection, retraining, and model versioning.
Collaborate with Procurement, Supply Chain, AP, Legal, and Engineering teams.

Requirements

4+ years in ML, OCR, Computer Vision, NLP, or Intelligent Document Processing.
Hands-on Azure AI Document Intelligence or similar enterprise IDP platform.
Strong Python, SQL, REST APIs, JSON, Azure SDKs, and asynchronous processing.
Experience with document classification, field extraction, tables, and variable-length line items.
Strong understanding of accuracy, precision, recall, F1, confidence calibration, and test-set design.
Experience with invoices, contracts, POs, or supply-chain documents.

Preferred Skills

Azure Machine Learning, MLflow, Azure AI Search, Azure OpenAI / GenAI, Databricks.
Multilingual document processing and contract/legal clause extraction.
ERP/procurement systems: SAP, Oracle, Dynamics 365, Coupa, Ariba.
Active learning, model-drift monitoring, human-in-the-loop, privacy, and document retention.

Senior Azure AI Document Intelligence Engineer-Local to Texas1NLP,OCR,ML,computer vision,Azure AI Document IntelligenceN/AC2CUnited States