Machine Learning Engineer Offline

Requirements:

- 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);

Will be a plus:

- Experience creating models as a webservice via Flask, Django, etc;

- Experience in building REST API services;

- Experience with MLOps

Responsibilities:

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