NLP Engineer

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a NLP Engineer.  


— Strong knowledge and practical experience in Natural Language Processing (NLP) area, i.e. TF-IDF, word embedding, Word2vec, Transformers, BERT;
— Good knowledge in machine learning i.e. clustering algorithms, dimensionality reduction (PCA, t-SNE). A good foundation in basic statistics and linear algebra;
— Strong Python knowledge;
— Comprehensive knowledge of the Python data analyses ecosystem (Pandas, NumPy, Scikit-learn, etc.);
— At least minor experience with python visualization tools (Matplotlib/Seaborn, Plotly);
— Strong practical experience with NLP frameworks: fastText, spaCy;
— Experience with following neural network architectures: LSTM, GRU and other RNN-based, XLM-RoBERTa
— Strong practical experience with Deep Learning frameworks like PyTorch, MXNet, TensorFlow, or Keras;
— Intermediate level of English.


Will be a plus:

— Experience with R, C++;
— Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing;
— Understanding SOTA approaches for machine learning problems like unsupervised/semisupervised learning;
— Experience with the following DL frameworks: DLib, Darknet, Theano;
— Awareness of CRISP-DM process model;
— Experience with continuous integration and release management tools, preferably within the AWS platform;
— Hands-on Experience with the common architecture of MLOps system by the means of Hadoop, Docker, Kubernetes, cloud services and experience with managing production ML lifecycle.



Project: the RPA solution for the worldwide company offers industry-leading shipping services, including transportation, warehousing, distribution, custom brokerage, and logistics management solutions.
CHI Software provides the RPA solution based on Machine Learning, Natural language processing, Computer Vision and Optical Character Recognition that replaces human labor in the workflow. The system allows separate incoming documents, upload one-page documents as scanned images, determine their type by checking the established set, extract text from predefined page fields, detect the signatures (if they are provided), recognize the QR codes.



With us you can:
Develop your technical knowledge:
— Use latest technologies;
— Participate in technical events and conferences (the cost is covered by the company);
— Regular techtalks and professional development.


Improve your soft skills:
— Build strong teamwork skills and become an essential part of the dynamic teams;
— Improve your English at classes and speaking directly with clients;
— Increase your productivity and communication level via Scrum, Kanban, Agile methodologies.


What else do we offer?
— Competitive compensation and benefits;
— Flexible and negotiable schedule;
— Nice and comfortable office located near metro station;
— Covered rest period (20 business days);
— Free English classes (we have 4 teachers in our team);
— Break area with Xbox, air hockey, ping-pong and table soccer
— Truly friendly atmosphere and unforgettable events;
— Bookcrossing;
— Basketball and ping-pong teams;
— Discounts offered by individual bonus cards (our partners are coffee shops, bars).



About the AI&ML team

The company’s AI&ML department was formed in 2019. During this time, the team managed to improve skills significantly and release a lot of projects. Our specialists are now actively working on the development of Data Science, Machine Learning, Audio ML, Computer Vision, and NLP directions.
Every day, the AI&ML department is faced with new exciting, and one might even say fantastic tasks. In solving them, the team conducts an expert assessment, is engaged in research, and finds truly unique solutions. Each new project gives a chance to learn something new in the Artificial Intelligence field.

  • 6 years — the average work experience 
  • 10 specialists 
  • Continuous growth 

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