
Highly Experienced AI/ML Solutions Specialist
4 days ago
We are seeking a highly skilled and experienced professional to join our team. The ideal candidate will have extensive knowledge in OCR technologies, intelligent document processing, and enterprise-scale AI/ML solutions.
The successful candidate will design, train, and deploy custom OCR models using various tools and technologies. They will automate document classification and data extraction from structured/unstructured inputs such as PDFs, scanned images, invoices, etc.
The AI/ML Engineer will build multilingual OCR workflows by integrating translation APIs and apply NLP insights to analyze and understand the context of documents.
The engineer will utilize image recognition tools for image-based document analysis and identity verification. They will implement and optimize scalable pipelines for OCR output post-processing (JSON/CSV) using Python, Java, or .NET.
The AI/ML Engineer will work closely with cross-functional teams to gather requirements and deliver tailored, production-grade solutions. They will ensure compliance with data privacy, security, and governance standards across cloud platforms.
Key Responsibilities:
- Design, train, and deploy custom OCR models leveraging various tools and technologies.
- Automate document classification and data extraction from structured/unstructured inputs.
- Build multilingual OCR workflows by integrating translation APIs.
- Apply NLP insights to analyze and understand the context of documents.
- Utilize image recognition tools for image-based document analysis and identity verification.
- Implement and optimize scalable pipelines for OCR output post-processing (JSON/CSV).
Requirements:
- 8+ years of experience in OCR technologies, intelligent document processing, and enterprise-scale AI/ML solutions.
- Expertise in various AI services and stacks including Azure and AWS.
- Strong coding skills in Python, Java, or .NET with hands-on experience in post-processing OCR outputs.
- Familiarity with cloud environments and DevOps practices.
- Deep knowledge of document layout analysis and NLP tools.
- Experience with GenAI model training, fine-tuning, and deployment.
- Bachelor's degree in Computer Science, IT, or equivalent.
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