
OCR and Gen AI
7 days ago
- Design, train, and deploy custom OCR models using Azure Document Intelligence and AWS Textract
- Automate document classification, data extraction from structured and unstructured formats (PDFs, scanned images, invoices, etc.)
- Integrate OCR workflows with Azure Translator for multilingual document processing and AWS Comprehend for NLP-based insights.
- Utilize AWS Bedrock and Azure OpenAI to build GenAI-powered solutions for semantic understanding and summarization of documents
- Apply AWS Rekognition for image-based document analysis and identity verification.
- Develop and maintain scalable pipelines using Python, Java, or .NET for OCR output post-processing (JSON/CSV formats).
- Collaborate with cross-functional teams to gather requirements and deliver tailored solutions.
- Ensure compliance with data privacy, security standards, and cloud governance policies.
Required Skills:
- At least 8 years of experience in OCR technologies and intelligent document processing.
- Proficiency in Azure AI Services, AWS AI/ML stack, and GenAI frameworks.
- Strong programming skills in Python, Java, or .NET.
- Experience with Azure Form Recognizer, AWS Textract, Rekognition and Bedrock.
- Familiarity with EC2,ECS, S3, Lambda, and Step Functions.
- Knowledge of document layout analysis (tables, forms, key-value pairs).
- Experience with NLP tools like AWS Comprehend and translation APIs.
- Understanding of GenAI model training, fine-tuning, and deployment strategies.
- Exposure to Consumer, Retail and Logistics domain document workflows would be an added advantage.
- Familiarity with Terraform, DevOps pipelines, and CI/CD practices is an additional benefit.
- Experience in CI/CD pipelines & Git for code management
- Ability to quickly learn and develop expertise in existing highly complex applications and architectures
- Comfortable working in Agile projects
- Clear and precise communication skills (mandatory since it's a client facing role)
- Strong problem-solving, attention to details is important.
- Bachelor's degree in computer science, information technology, or a similar field (preferable)
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