Role Summary:
Develop and integrate AI models for grammar, tone, citation checks, and semantic similarity/plagiarism detection and workflow atomization etc.
Responsibilities:
- Design and develop NLP systems for academic document processing and analysis
- Build information extraction pipelines for structured and unstructured scholarly content
- Integrate GPT / Transformer-based models for grammar and tone improvement.
- Fine-tune or customize models for academic writing.
- Implement vector embeddings for semantic search (Pinecone / Milvus).
- Integrate citation APIs (CrossRef, ArXiv).
- Work with backend to deploy AI microservices via APIs.
- Monitor model accuracy and performance.
Required Skills:
- 5+ years experience in NLP, information extraction, or document AI
- Python, Transformers (Hugging Face), OpenAI API
- NLP techniques (NER, sentence similarity, paraphrasing)
- Pinecone / Milvus / FAISS
- REST API development
- ML pipeline design and evaluation