Data Scientists / Extraction
Tasks
- Build NLP and Document AI pipelines
- Collaborate with product engineering and domain teams on extraction rules and taxonomy
- Create reusable Python components for parsing classification extraction and validation
- Create technical documentation for extraction logic and processing workflows
- Design Intelligent Document Processing solutions
- Design data preprocessing post processing and quality validation frameworks
- Develop OCR pipelines
- Evaluate OCR NLP and LLM approaches for performance scalability and cost
- Extract normalize and validate structured data from unstructured financial documents
- Handle semi structured and unstructured document formats
- Implement LLM based extraction and classification workflows
- Improve model accuracy with prompt engineering and tuning
- Mentor junior team members and apply AI ML best practices
- Support deployment monitoring and continuous improvement of extraction pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Textract | Confidence scoring | Data Preprocessing | Data Validation | Document AI | Document Classification | Document parsing | Entity Extraction | Hugging Face | Human-in-the-loop | LLM based classification | LLM based extraction | Langchain | Language Models | Language Processing | Layout analysis | MLOps | Model Tuning | Natural Language | Natural Language Processing | OCR pipelines | Optical character recognition | Production Monitoring | Prompt engineering | Python | Spacy | Table Extraction | Tesseract | The Loop | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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