Position Sr. Machine learning engineer
Location Nizhny Novgorod
Education
Mandatory Skills Learning Solutions
Experience 5.00 - 8.00 Years
Description

Demonstrated Experience:

 

  • Knowledge of classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc)
  • Experience/good knowledge of supervised and unsupervised machine learning
  • Applied experience with machine learning on large datasets
  • Understanding of bias, regularization, dimension reduction
  • Experience in data visualization and reporting
  • Experience/understanding of deep learning and reinforcement learning is a plus
  • Knowledge of ANN architectures such as RNNs (LSTM, GRU) and experiences is a plus
  • Good knowledge of modern ML pipeline and tools such as Python (including numpy, pandas, sklearn, seaborn)
  • Experience in modern deep learning techniques via packages such as PyTorch, Keras/Tensorflow is a plus

 

Role and Responsibility:

participate in research and development of AI/ML based solutions which includes:

  • statistical models for data analysis
  • predictive models for modeling situations and physical processes
  • models for behavioral anomaly detection
  • define and improve ANN architectures/topologies
  • define and implement training/validation pipelines
  • implement data analysis and preparation tools

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