Open position
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
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