Job Description

• 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, contact:hirings@openkyber.com

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