Position: Middle ML  Engineer
Category: Data Science
English level: upper
Years of experience: 2


- Neural Networks architectures (Transformers (ViT), CNN, LSTM, RNN, GRUs, etc.)
- Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn, etc.)
- Computer Vision algorithms (image recognition, object detection)
- Natural Language Processing (RNN, Transformers, MultiHeadAttention with time series Classification)
- Transfer Learning, Fine-tuning, etc.