Wobb | Artificial Intelligence Intern | india
2 weeks ago
Location : Remote
Duration : 6-12 months
Stipend : 10K per month for 6 months, 25K per month for next 6 months
Start Date : Immediate
We are looking for a motivated and tech-savvy AI Development Intern to join our team. In this role, you will work on cutting-edge projects focused on automating document analysis and generation. You will contribute to building AI-powered systems that extract, validate, and transform content from scanned PDFs into structured and actionable outputs.
- Develop and implement OCR-based text extraction solutions for scanned PDF documents.
- Use NLP models (e.g., GPT, BERT) to validate content accuracy and completeness against predefined criteria.
- Create workflows for vector embedding generation and analysis of document content.
- Collaborate in designing and generating automated reports summarizing findings and gap analyses.
- Assist in developing tools to map and transform base documents into structured formats for specific use cases.
- Work closely with the team to ensure project milestones are met efficiently.
- Strong knowledge of Python and experience with libraries like TensorFlow , PyTorch , or similar.
- Familiarity with OCR tools (e.g., Tesseract, EasyOCR) for text extraction.
- Experience with Natural Language Processing (NLP) and vector embeddings .
- Knowledge of document processing tools like PyPDF2 , PDFplumber , or ReportLab .
- Ability to work with predefined templates and structured data transformations.
- Good analytical and problem-solving skills.
- Currently pursuing or recently completed a degree in Computer Science , AI/ML , or a related field.
- Experience working on AI/ML projects (personal, academic, or professional).
- Understanding of automated report generation and content validation workflows.
- Interest in regulatory documentation and structured content generation (optional).
- Hands-on experience with state-of-the-art AI tools for document analysis.
- Exposure to real-world projects focused on automation and compliance .
- Practical knowledge of OCR and NLP technologies applied in industry settings.
- Collaborative software development in a fast-paced and innovative environment.
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