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Azure Security Engineer

  • Azure Security Engineer job type Posted on: Oct 14, 2026
  • Azure Security Engineer experience level Openkyber
  • Azure Security Engineer employment type Atlanta, Georgia
  • Azure Security Engineer employment type Onsite
  • Azure Security Engineer salary Full-time

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Job Title :

Azure Security Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Summary (List Format):
  • Experience in machine learning, OCR, computer vision, NLP, or intelligent document processing.
  • Hands-on experience with Azure AI Document Intelligence or similar enterprise document-processing platforms.
  • Strong Python programming skills, including experience with REST APIs, JSON, Azure SDKs, and asynchronous processing.
  • Proficient in training and evaluating document classification and field-extraction models, with a strong grasp of key evaluation metrics (accuracy, precision, recall, F1 score, confidence calibration, and test-set design).
  • Experience extracting complex tables and variable-length line items from documents.
  • Skilled in creating labeled datasets and maintaining high data-quality standards.
  • Familiarity with processing business documents such as invoices, purchase orders, contracts, or supply-chain documents.
  • Strong analytical, debugging, and technical documentation skills.
  • Preferred: Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI; experience with multilingual document processing.
  • Familiar with contract clause extraction and legal-document processing.
  • Knowledge of ERP or procurement systems (SAP, Oracle, Dynamics 365, Coupa, Ariba).
  • Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows.
  • Understanding of data privacy and document-retention requirements.
  • Responsible for achieving 99% exact-match accuracy for critical fields and 98% across all fields, maintaining accuracy across suppliers, formats, and document types.
  • Expected to reduce manual corrections and review time, and document process improvements for fields not meeting accuracy thresholds.
  • Ensure no production model is deployed without passing the approved evaluation suite.
  • Technical skills include: Azure (Big Data), Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search, SQL, and contract/invoice OCR.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93262-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Summary (List Format):

  • Experience in machine learning, OCR, computer vision, NLP, or intelligent document processing.
  • Hands-on experience with Azure AI Document Intelligence or similar enterprise document-processing platforms.
  • Strong Python programming skills, including experience with REST APIs, JSON, Azure SDKs, and asynchronous processing.
  • Proficient in training and evaluating document classification and field-extraction models, with a strong grasp of key evaluation metrics (accuracy, precision, recall, F1 score, confidence calibration, and test-set design).
  • Experience extracting complex tables and variable-length line items from documents.
  • Skilled in creating labeled datasets and maintaining high data-quality standards.
  • Familiarity with processing business documents such as invoices, purchase orders, contracts, or supply-chain documents.
  • Strong analytical, debugging, and technical documentation skills.
  • Preferred: Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI; experience with multilingual document processing.
  • Familiar with contract clause extraction and legal-document processing.
  • Knowledge of ERP or procurement systems (SAP, Oracle, Dynamics 365, Coupa, Ariba).
  • Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows.
  • Understanding of data privacy and document-retention requirements.
  • Responsible for achieving 99% exact-match accuracy for critical fields and 98% across all fields, maintaining accuracy across suppliers, formats, and document types.
  • Expected to reduce manual corrections and review time, and document process improvements for fields not meeting accuracy thresholds.
  • Ensure no production model is deployed without passing the approved evaluation suite.
  • Technical skills include: Azure (Big Data), Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search, SQL, and contract/invoice OCR.

For applications and inquiries,

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