Machine Learning Engineer (offline)

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.

- 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

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

About Flyaps

Flyaps is a software company focused on research in different areas of artificial intelligence such as planning, machine learning, and natural language processing. We are integrating our AI prototypes and experiments into products that we create for our clients — and some of this integration is quite well-turned.
Flyaps is a language neutral company. However, our primary tools are Python and C++. Also, we put big attention to data visualization and user interfaces — that’s why we are always looking for skilled UI/UX designers and CSS3/JavaScript developers who love create fast and responsive web interfaces using latest technologies.

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  • Category: Python
  • Python, numpy, Flask, API REST, nlp, ML, Machine Learning
  • English: Intermediate
  • 2 years of experience
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