Role description
NLP Engineer (Fresher)
Remote (worldwide)Full-time0-2 years experience₹4 to ₹8 LPA
We are hiring an NLP engineer who enjoys making machines understand text. You will build text classification, sentiment analysis, and information extraction systems with spaCy and Hugging Face transformers, and your best work will become examples in our NLP tutorials.
What you will do
- Build text classification, NER, and sentiment analysis pipelines
- Fine-tune transformer models with Hugging Face for specific tasks
- Clean and prepare text datasets: tokenization, normalization, augmentation
- Evaluate models with task-appropriate metrics and error analysis
- Turn solid NLP builds into tutorial-ready examples
What we look for
- 0 to 2 years of NLP or ML experience (projects and internships count)
- Solid Python and one NLP stack: spaCy, NLTK, or Hugging Face
- Understanding of embeddings, tokenization, and transformer basics
- Comfort with pandas and scikit-learn
- Clear written English
Nice to have
- A fine-tuned model or NLP project you can demo
- Kaggle NLP competition experience
- Familiarity with our NLP tutorials
Skills
PythonspaCyHugging Face Transformersscikit-learnText processingPyTorch
Applications are closed
We have paused hiring, so we are not accepting applications for this role at the moment and resumes sent by email will not be reviewed. This page stays up so you can see what the role involves and what we look for. The application form returns here when hiring reopens.
In the meantime, our free AI and ML tutorials cover most of the skills listed here.