
Intelligent Document Processing Engineer
1 week ago
We are seeking a seasoned expert in AI/ML engineering to design, develop, and deploy cutting-edge solutions for intelligent document processing and OCR technologies.
- The ideal candidate will have extensive experience with Azure AI Services, AWS AI/ML stack, and other related tools and technologies.
- A strong background in computer science or a related field, along with expertise in Python, Java, or .NET programming languages, is required.
- The ability to work collaboratively in an Agile project environment and excellent communication skills are essential for this role.
Responsibilities:
- Design and implement custom OCR models using Azure Document Intelligence and AWS Textract.
- Automate document classification and data extraction from various input types, including PDFs, scanned images, and invoices.
- Develop multilingual OCR workflows by integrating Azure Translator and apply NLP insights using AWS Comprehend.
- Create 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 using Python, Java, or .NET.
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).
- Bachelor's degree in Computer Science, IT, or equivalent (preferred).
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