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LB

Latent Bridge

AI Foundry Specialist

Pune, INऑन-साइटअनुबंधअंशकालिक

1 अक्टू॰ 2026 को पोस्ट किया गया

यह नौकरी EN में पोस्ट की गई है

AI Foundry Specialist

About the role
We're looking for an AI Foundry Specialist to configure and set up our document intelligence and document understanding capabilities. You'll be the subject-matter expert who turns document types and business requirements into working, accurate, and governed AI configurations.

Responsibilities

  • Configure and deploy document intelligence and document understanding solutions in Azure AI Foundry
  • Set up projects, model deployments, connections, and access controls
  • Train, tune, and evaluate custom extraction models for our document types (forms, contracts, invoices, and so on)
  • Define schemas, field mappings, and confidence thresholds, and measure accuracy against labeled samples
  • Iterate on prompts, model choices, and configurations to improve extraction quality
  • Document configurations, evaluation results, and operational runbooks
  • Work with .NET developers and data engineers to make sure outputs meet integration contracts

Required qualifications

  • 5+ years of experience with AI/ML platforms, with hands-on Azure AI Foundry and Document Intelligence (or comparable services)
  • Experience with OCR, layout analysis, and structured extraction from documents
  • Ability to build labeled datasets and run evaluation cycles
  • Understanding of responsible AI, security, and governance practices
  • Strong written communication for configuration documentation

Nice to have

  • Experience with LLM-based document understanding and prompt engineering
  • Python scripting for evaluation and automation
  • Experience in [industry/domain] document types


भूमिका सारांश

नौकरी का प्रकार

अंशकालिक

आवश्यक कौशल

Azure AI Foundry configuration and deploymentDocument Intelligence / Document Understanding platformsOCR and layout analysis for document processingTraining, tuning, and evaluating custom extraction modelsSchema design, field mapping, and confidence threshold configurationEvaluation metrics and accuracy measurement against labeled samplesBuilding labeled datasets and managing evaluation cyclesPrompt engineering and LLM-based document understandingPython scripting for evaluation and automationResponsible AI, security, and governance practicesDocumentation and creation of operational runbooksIntegration coordination with .NET developers and data engineers (integration contracts)Azure access controls, project setup, and connection management

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