As a machine learning engineer, you will be working in a small group of 4-5 people. Your direct responsibilities include:
Improve existing ML models
Making research and testing of the new neural network architectures
Planning and making releases of the python ML library

Чем Вы должны обладать

Обязательно

— Practical experience with ML models in production (2+ years);
— Python 3.х, software engineering skills (able to produce well-structured production-level projects, not only notebook scripts);
-- Experience with ML frameworks and libraries: numpy, pandas, nltk, PyTorch, scikit-learn, spaCy, gensim LSTM, transformers (BERT, GPT);
— Good knowledge of ML theory and practice — pros & cons of different model types, validation, metrics, etc.;
-- Understanding theoretical concepts of NLP (language modeling, text classification, sequence classification, question answering, etc);

Желательно

— Experience creating models as a webservice via Flask, Django, etc;
-- Experience in building REST API services;
-- Experience with MLOps

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