We develop technology — data extraction from documents such as invoices, contracts, bills of lading, CVs. The current goal is to parse and extract valuable information about the candidate from his/her CV.
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
Improve existing ML models
Making research and testing of the new neural network architectures
Planning and making releases of the python ML library