NLP Engineer (R&D) (offline)

Metinvest Digital is IT Company that specializes in digital transformation of big businesses and implements projects in Ukraine, Europe and North America.

We develop, implement and support integrated IT solutions for building on premise and cloud infrastructure, development of information systems, system integration, data migration, cybersecurity, and information security.

Advantages of working in our company:
Opportunity to be an innovator of information technology implementation in the industrial sector of Ukraine;
Work with professional, proactive and open-minded team;
Mentoring and 1-to-1 meetings with the manager;
Corporate and external training courses
Responsibilities
Development and implementation of NLP based solutions;
Development and training of NLP custom models;
Building the architecture of the technical model;
Create production-ready solutions, launch MVPs;
Researching and designing ways to improvement current solutions;
Effective communication with other team members and stakeholders.

Required skills
3+ year commercial experience with hands-on Python development and NLP;
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling;
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms;
Strong practical experience with NLP frameworks: fastText/spaCy;
Experience with Machine Learning libraries (NumPy/SciPy/Pandas/ScikitLearn);
Experience with Deep Learning frameworks (Tensorflow/Keras/PyTorch).

Would be a plus:
Experience with MS Azure infrastructure;
Experience in Computer Vision and OCR;
Familiarity with docker containers.

We offer:
Competitive salary with Performance-based bonus;
Official employment;
Medical insurance;
Corporate mobile;
Corporate events, including sports.

If you are interested in career and professional growth in our company, please send your CV.

The job ad is no longer active
Job unpublished on 6 January 2022

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