NLP Engineer (offline)
β Strong knowledge and practical experience in Natural Language Processing (NLP) area, i.e. TF-IDF, word embedding, Word2vec, Transformers, BERT;
β Good knowledge in machine learning i.e. clustering algorithms, dimensionality reduction (PCA, t-SNE). A good foundation in basic statistics and linear algebra;
β Strong Python knowledge;
β Comprehensive knowledge of the Python data analyses ecosystem (Pandas, NumPy, Scikit-learn, etc.);
β At least minor experience with python visualization tools (Matplotlib/Seaborn, Plotly);
β Strong practical experience with NLP frameworks: fastText, spaCy;
β Experience with following neural network architectures: LSTM, GRU and other RNN-based, XLM-RoBERTa
β Strong practical experience with Deep Learning frameworks like PyTorch, MXNet, TensorFlow, or Keras;
β Intermediate level of English.
As a plus
β Experience with R, C++;
β Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing;
β Understanding SOTA approaches for machine learning problems like unsupervised/semisupervised learning;
β Experience with the following DL frameworks: DLib, Darknet, Theano;
β Awareness of CRISP-DM process model;
β Experience with continuous integration and release management tools, preferably within the AWS platform;
β 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.
We offer
Develop your technical knowledge:
β Use latest technologies
β Participate in technical events and conferences (the cost is covered by the company)
β Regular techtalks and professional development
Improve your soft skills:
β Build strong teamwork skills and become an essential part of the dynamic teams
β Improve your English at classes and speaking directly with clients
β Increase your productivity and communication level via Scrum, Kanban, Agile methodologies
What else do we offer?
β Competitive compensation and benefits
β Flexible working schedule
β Remote work or work in one of our development offices
β Covered rest period (20 business days+ 5 days-off)
β Professional growth: a variety of projects, regular technical events, mentorship.
β Free English classes (we have an amazing English teaching team)
β Speaking-club with a native English speaker
β Truly friendly atmosphere and teambuilding
The job ad is no longer active
Job unpublished on
3 October 2021
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