We are currently looking for an ambitious Data Scientist with NLP to join our team.
We focus on machine learning and big data for predictive modelling, computer vision, NLP, and reinforcement learning. Our main technology stack is built around Python based on open-source packages and frameworks: scikit-learn, LightGBM, OpenCV, PyTorch and TensorFlow. If you are open-minded and eager to continuously develop yourself, our company is the place for you. Our teams are made up of winners of international algorithmic competitions, experienced managers, talented developers and IT administrators. Are you interested? Grow with us and we will gladly share our knowledge and expertise with you! Have a look at some of our success stories.
We are currently looking for a Data Scientist to join our team working on a voice assistant. We are especially looking for engineers familiar with NLP/NLU.
The successful applicant will have:
- experience with deep learning applied to NLP / NLU,
- familiarity with popular architectures: LSTMs, Transformers,
- the ability to apply machine learning to real-life problems,
- good knowledge of machine learning algorithms,
- experience in feature engineering and hyperparameter tuning,
- some experience in building predictive models,
- practical knowledge of machine learning tools (e.g. TensorFlow / PyTorch / , scikit-learn / LightGBM),
- the ability to share your knowledge,
- a willingness to learn continuously,
- good working knowledge of English (>B2 level).
We also welcome:
- experience in computer vision,
- experience in data visualization,
- experience in using machine learning on big data,
- familiarity with Java.
- the opportunity to learn from and work with seasoned developers with extensive professional experience,
- the opportunity to participate in conferences and workshops around the world,
- the opportunity to participate in Tech Talks (internal training sessions),
- flexible working hours,
- attractive benefits package (subsidized medical care, sports, frequent team-building events, fun room).