ML Engineer
Разработка, обучение и внедрение моделей машинного обучения в production
Уровень:
Machine Learning и AI
9 навыков · 45 требований| Навык | Junior | Middle | Senior | Lead | Principal |
|---|---|---|---|---|---|
| Классический ML | |||||
| Classical ML (scikit-learn) | Awareness | Working | Advanced | Expert | Expert |
| Gradient Boosting | Awareness | Working | Advanced | Expert | Expert |
| Deep Learning | |||||
| PyTorch | Awareness | Working | Advanced | Expert | Expert |
| MLOps | |||||
| MLflow | Awareness | Working | Advanced | Expert | Expert |
| Model Serving | Awareness | Working | Advanced | Expert | Expert |
| Feature Stores | 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 |