Expert Document Intelligence Specialist

4 days ago

Palakkad, Kerala, India beBeeDocument Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Document Intelligence Specialist

This is an exciting opportunity to join a team that specializes in cutting-edge document intelligence solutions. As a skilled professional in OCR and Gen AI, you will play a key role in designing, training, and deploying custom models using Azure Document Intelligence and AWS Textract.

About the Role:
  • Model Development: You will be responsible for developing, training, and deploying custom OCR models to automate document classification and data extraction from structured and unstructured formats.
  • Document Classification: Your expertise will be utilized to classify and extract data from various documents, including PDFs, scanned images, invoices, and more.
  • Intelligent Document Processing: You will integrate OCR workflows with Azure Translator for multilingual document processing and AWS Comprehend for NLP-based insights.
  • GenAI Solutions: You will leverage AWS Bedrock and Azure OpenAI to build GenAI-powered solutions for semantic understanding and summarization of documents.
  • Image Analysis: You will apply AWS Rekognition for image-based document analysis and identity verification.
  • Pipeline Development: You will develop and maintain scalable pipelines using Python, Java, or .NET for OCR output post-processing in JSON/CSV formats.
Requirements:
  • Experience: At least 8 years of experience in OCR technologies and intelligent document processing.
  • Azure AI Services: Proficiency in Azure AI Services, AWS AI/ML stack, and GenAI frameworks.
  • Programming Skills: Strong programming skills in Python, Java, or .NET.
  • Cloud Platforms: Experience with Azure Form Recognizer, AWS Textract, Rekognition, and Bedrock.
  • DevOps: Familiarity with EC2, ECS, S3, Lambda, and Step Functions.
  • NLP Tools: Knowledge of NLP tools like AWS Comprehend and translation APIs.
  • GenAI Expertise: Understanding of GenAI model training, fine-tuning, and deployment strategies.

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