Advanced Document Processing Specialist

2 days ago

Mysore, Karnataka, India beBeeDocument Full time US$ 20,00,000 - US$ 25,00,000
AI Engineer: Document Processing Specialist

As a seasoned document processing specialist, you will be responsible for designing, training, and deploying custom OCR models leveraging Azure Document Intelligence and AWS Textract. Your primary focus will be on automating document classification and data extraction from structured/unstructured inputs (PDFs, scanned images, invoices, etc.).

The ideal candidate will have expertise in Azure AI Services and AWS AI/ML stack, with strong coding skills in Python, Java, or .NET. Additionally, they should have hands-on experience in post-processing OCR outputs and familiarity with AWS services (EC2, ECS, S3, Lambda, Step Functions) and Azure cloud environments.

  • Automate document classification and data extraction from structured/unstructured inputs (PDFs, scanned images, invoices, etc.)
  • Build multilingual OCR workflows by integrating Azure Translator and apply NLP insights using AWS Comprehend
  • Develop GenAI-powered solutions with AWS Bedrock and Azure OpenAI for semantic understanding, summarization, and contextual search of documents
  • Utilize AWS Rekognition for image-based document analysis and identity verification
  • Implement and optimize scalable pipelines for OCR output post-processing (JSON/CSV) using Python, Java, or .NET
  • Collaborate with cross-functional teams to gather requirements and deliver tailored, production-grade solutions
  • Ensure compliance with data privacy, security, and governance standards across cloud platforms

Required Skills and Qualifications:

  • 8+ years of experience in OCR technologies, intelligent document processing, and enterprise-scale AI/ML solutions
  • Expertise in Azure AI Services and AWS AI/ML stack
  • Strong coding skills in Python, Java, or .NET with hands-on experience in post-processing OCR outputs
  • Familiarity with AWS services (EC2, ECS, S3, Lambda, Step Functions) and Azure cloud environments
  • Deep knowledge of document layout analysis (tables, forms, key-value pairs)
  • Experience with NLP tools, translation APIs, and GenAI model training, fine-tuning, and deployment
  • Exposure to Consumer, Retail, and Logistics domain workflows (preferred)
  • Understanding of Terraform, CI/CD pipelines, DevOps practices, and Git (advantage)

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