Junior NLP Engineer – Named Entity Recognition (NER) & Ontology Design
PythonAbout the Role:
We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.
Responsibilities:
- Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
- Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
- Evaluating model performance and improving precision/recall
- Adapting pre-trained models to domain-specific data
- Develop and maintain domain ontologies using tools like Protégé
- Refine ontology structure and concept hierarchy
- Document experiments and share insights with the engineering team
You Should Have:
- Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
- Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
- Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
Experience working with text datasets, even academic ones like CoNLL or OntoNotes
Shubham Vishwakarma
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About Archstore Tech Solutions Pvt
About
ArchStore offers a platform that allows an Architect/Interior Designer to manage and track on going projects, browse and select Vendor’s products and
shortlist them for their project, call for samples, request quotes and much more, showcased online in a very organised catalogue using cutting edge technology.
It also allows them to directly communicate and get in touch with Vendor’s representatives with one click
Candid answers by the company
ArchStore offers a cutting edge technology backed platform to connect a variety of products showcased by Vendors directly to Architect and Interior designers
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