
Enterprise AI Solutions Developer
3 days ago
- Design and develop custom Optical Character Recognition (OCR) models using Azure Document Intelligence and AWS Textract to automate document classification and data extraction from structured/unstructured inputs.
- Implement multilingual OCR workflows by integrating Azure Translator for text translation and apply Natural Language Processing (NLP) insights using AWS Comprehend.
- Develop Generative Artificial Intelligence (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.
- 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.
- Maintain compliance with data privacy, security, and governance standards across cloud platforms.
- 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 is preferred.
- Understanding of Terraform, CI/CD pipelines, DevOps practices, and Git is an advantage.
- Excellent problem-solving and communication skills are required for a client-facing role.
- A Bachelor's degree in Computer Science, IT, or equivalent is preferred.
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