AI Model Deployment Specialist

1 day ago

Ahmedabad, Gujarat, India beBeeAi Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title:AI Model Deployment Specialist

 

Job Summary

A seasoned professional is required to design and deploy custom AI models leveraging Azure Document Intelligence and AWS Textract. The ideal candidate will have expertise in Azure AI Services and AWS AI/ML stack, as well as strong coding skills in Python, Java, or .NET with hands-on experience in post-processing OCR outputs.

Responsibilities
  • Design, train, and deploy custom AI models leveraging Azure Document Intelligence and AWS Textract.
  • Automate document classification and data extraction from structured/unstructured inputs (PDFs, scanned images, invoices, etc.).
  • Build multilingual AI 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.
Requirements
  • 8+ years of experience in AI 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).

 

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