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NLP Research Engineer ( AI в образовании)

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Обязанности

We invite you to join AI in education team of Sberbank AI Lab. Here we are focusing on development of the AI technologies able to improve the quality of education approaches. We are interested in development of concrete applications in collaboration with educative companies, acting nationwide and even on the international level, as well as in fundamental research projects related to DL, NLP, neuroscience. Among the projects we are working on (the topics might alternate in the future):

  • Automatic short answer grading
  • Continual learning
  • Adversarial attacks in NLP
  • Hand-written text recognition
  • Image-to-text for design tasks verification

Responsibilities:

  • Creation of NLP-based machine learning models, hyperparameter optimization and performance evaluation
  • Participation in discussions and establishing future research and applicative projects
  • Follow up-to-date scientific research on NLP
  • Desire to work on applicative as well as research projects

Требования

Minimum qualifications:

  • 4+ years of experience developing in Python
  • 3+ years of experience developing in deep learning infrastructures such as PyTorch, TensorFlow
  • 2+ years of experience designing and implementing DL-based NLP models such as BERT

 Preferred qualifications:

  • Good understanding of DL theory
  • Experience in computer vision, speech processing
  • Experience with classical machine learning methods: XGBoost, Random Forest, clustering…
  • Experience creating simple API’s (e.g. Flask)
  • Experience with docker
  • Proper development skills: clean, clearly written, tested code

Условия

new direction AI in education

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Отклик на вакансию:

Откликаясь на вакансию, вы даете согласие на обработку ваших персональных данных и соглашаетесь с политикой конфиденциальности Sber AI Lab