LB
Latent Bridge
AI Foundry Specialist
Pune, INPresencialContratoTempo parcial
Publicado 1 de out. de 2026
Esta vaga foi publicada em EN
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
Resumo da função
Tipo de vaga
Tempo parcial
Competências necessárias
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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