Key skills
PythonPyTorchTensorflowMLNLPLangChainTensorFlowHugging Face
About this role
Role Overview
- Assist in preprocessing and cleaning textual datasets
- Implement basic NLP pipelines using libraries like NLTK or Hugging Face
- Design and implement NLP models for classification, entity recognition, and summarization
- Fine-tune transformer-based models (e.g., BERT, RoBERTa) for domain-specific tasks
- Analyze model performance and iterate based on evaluation metrics
- Contribute to scalable deployment of NLP services
Requirements
- Bachelor’s degree in Computer Science
- Experience or specialization on NLP
- Strong Python skills
- Understanding of NLP tasks (tokenization, POS tagging, sentiment analysis)
- Exposure to ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with Hugging Face, SpaCy, or LangChain
- Minimum of 1–2 years of experience in NLP and LLMs modeling
Tech Stack
- Python
- PyTorch
- Tensorflow