Custom OCR Model Developer

6 days ago

India beBeeOcr Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

The AI/ML Engineer is responsible for developing and implementing custom OCR models using Azure Document Intelligence and AWS Textract.

Key responsibilities include automating document classification and data extraction from structured/unstructured inputs, such as PDFs and scanned images.

The successful candidate will build multilingual OCR workflows by integrating Azure Translator and apply NLP insights using AWS Comprehend.

They will also develop GenAI-powered solutions with AWS Bedrock and Azure OpenAI for semantic understanding, summarization, and contextual search of documents.

In addition, they will utilize AWS Rekognition for image-based document analysis and identity verification.

The ideal candidate will implement and optimize scalable pipelines for OCR output post-processing using Python, Java, or .NET.

Strong collaboration and communication skills are essential for working with cross-functional teams to gather requirements and deliver tailored, production-grade solutions.

The role requires a deep understanding of 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 (Form Recognizer/Document Intelligence, Translator, OpenAI) and AWS AI/ML stack (Textract, Comprehend, Rekognition, Bedrock)
  • 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)
  • Bachelors degree in Computer Science, IT, or equivalent (preferred)

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