NLP Engineer
Разработка систем обработки естественного языка: классификация, извлечение информации, генерация текста
Уровень:
Machine Learning и AI
14 навыков · 70 требований| Навык | Junior | Middle | Senior | Lead | Principal |
|---|---|---|---|---|---|
| Классический ML | |||||
| Classical ML (scikit-learn) | Awareness | Working | Advanced | Expert | Expert |
| Deep Learning | |||||
| PyTorch | Awareness | Working | Advanced | Expert | Expert |
| NLP | |||||
| Transformers и NLP | Awareness | Working | Advanced | Expert | Expert |
| Классификация текстов | Awareness | Working | Advanced | Expert | Expert |
| NER (Распознавание сущностей) | Awareness | Working | Advanced | Expert | Expert |
| Анализ тональности | Awareness | Working | Advanced | Expert | Expert |
| MLOps | |||||
| MLflow | Awareness | Working | Advanced | Expert | Expert |
| Model Serving | Awareness | Working | Advanced | Expert | Expert |
| Трекинг экспериментов | Awareness | Working | Advanced | Expert | Expert |
| ML-пайплайны | Awareness | Working | Advanced | Expert | Expert |
| Мониторинг моделей | Awareness | Working | Advanced | Expert | Expert |
| LLM и генеративный AI | |||||
| LLM приложения | Awareness | Working | Advanced | Expert | Expert |
| RAG-архитектура | Awareness | Working | Advanced | Expert | Expert |
| Векторные базы данных | Awareness | Working | Advanced | Expert | Expert |