Azure Data Engineer

Hybrid in Irving, TX, US • Posted 21 hours ago • Updated 1 hour ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Azure Databricks
  • Azure Machine Learning
  • ML
  • OCR
  • NLP
  • Python
  • SQL
  • REST API
  • JSON

Summary

·         Candidate Must have over 10 years of experience in IT

·         Must attend Face to Face Interview at TX Location

Mandatory Skills:

·         7+ years of hands-on experience in ML, OCR, NLP, computer vision, or intelligent document processing.

·         Strong Python, SQL, REST API, JSON, and Azure SDK skills.

·         Experience with Azure AI Document Intelligence or similar document-processing platforms.

·         Knowledge of model training, evaluation metrics, labelled datasets, and complex table extraction.

·         Experience processing invoices, contracts, purchase orders, or supply-chain documents.

Key Responsibilities

·    Develop and optimize document classification and data extraction models using Azure AI Document Intelligence, Python, and machine learning.

·         Extract invoice details, contract metadata, line items, tables, payment terms, and legal clauses with high accuracy.

·         Build data preprocessing, validation, confidence-scoring, and human-in-the-loop review workflows.

·         Implement model evaluation pipelines, targeting 98–99%+ extraction accuracy for critical business fields.

·         Leverage Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, and Azure OpenAI/GenAI for intelligent document automation.

·         Monitor model performance, analyze extraction errors, manage model drift, and continuously improve accuracy.

·         Collaborate with procurement, supply-chain, accounts-payable, legal, and engineering teams.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90962207
  • Position Id: 9128113
  • Posted 21 hours ago
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