NLP/ML Engineer (offline)

— 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. random forest, xgboost, 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
— Strong practical experience with Deep Learning frameworks like PyTorch, MXNet, Tensorflow, or Keras. Upper-intermediate level of English mandatory

Would 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

About CHI Software

CHI Software teams leverage the best practices to cover all development process and provide cutting-edge solutions. Our experts can work as a part of an extended team, or a dedicated team to achieve business goals and objectives.

Company website:
https://chisw.com.ua/