OCR and Gen AI

Responsibilities : - 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)