NLP Engineer
Building natural language processing systems: classification, information extraction, text generation
Level:
Machine Learning & AI
14 skills · 70 requirements| Skill | Junior | Middle | Senior | Lead | Principal |
|---|---|---|---|---|---|
| Classical Machine Learning | |||||
| Classical ML (scikit-learn) | Awareness | Working | Advanced | Advanced | Expert |
| Deep Learning | |||||
| PyTorch | Awareness | Working | Advanced | Advanced | Expert |
| Natural Language Processing | |||||
| Transformers & NLP | Awareness | Working | Advanced | Advanced | Expert |
| Text Classification | Awareness | Working | Advanced | Advanced | Expert |
| Named Entity Recognition | Awareness | Working | Advanced | Advanced | Expert |
| Sentiment Analysis | Awareness | Working | Advanced | Advanced | Expert |
| MLOps | |||||
| MLflow | Awareness | Working | Advanced | Advanced | Expert |
| Model Serving | Awareness | Working | Advanced | Advanced | Expert |
| Experiment Tracking | Awareness | Working | Advanced | Advanced | Expert |
| ML Pipelines | Awareness | Working | Advanced | Advanced | Expert |
| Model Monitoring | Awareness | Working | Advanced | Advanced | Expert |
| LLM & Generative AI | |||||
| LLM Applications | Awareness | Working | Advanced | Advanced | Expert |
| RAG Architecture | Awareness | Working | Advanced | Advanced | Expert |
| Vector Databases | Awareness | Working | Advanced | Advanced | Expert |