AI/ML Engineer

2 weeks ago

Aligarh, India Recro Full time

Responsibilities


  • Design, train, and deploy custom OCR 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 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


  • 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).
  • Comfortable working in Agile projects, with excellent problem-solving and communication skills (client-facing role).
  • Bachelor’s degree in Computer Science, IT, or equivalent (preferred).

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