AI/ML Engineer

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).