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Our products are used to:

_reduce the uncertainty of Machine Learning models,

_prioritize enterprise data efforts,

_support experts in the ML loop,

_improve the quality of ML models, especially in multi-class settings with complex ontologies,

_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,

_improve gaming experience via more challenging and realistic AI in games,

_create intelligent advisory systems from pre-compiled building blocks.

Python Data Scientist

What you’ll do

You will be a part of an R&D team solving clients’ business problems and working on leading solutions in the fields of machine learning model diagnostics and eXplainable Artificial Intelligence (XAI).
You will focus on both theoretical and practical aspects of cutting-edge products centered around machine learning. This position is a great opportunity to establish deep understanding and get hands-on experience in the area of interpretable and explainable models (XAI 2.0).

What you need to know

  • Python;
  • NumPy and Pandas;
  • elementary statistics;
  • machine learning theory;
  • familiarity of computer vision;
  • familiarity of XAI;
  • clean code;
  • Scikit-learn;
  • Matplotlib or other plotting library;
  • TensorFlow/PyTorch;
  • Git.

Nice to have

  • ML systems architecture;
  • sound processing;
  • anomaly detection;
  • drift detection;
  • pytest.

What your tasks will be

  • data analysis
  • benchmarking of state of the art machine learning algorithms;
  • novel machine learning algorithms implementation
  • implementation of machine learning models fulfilling clients’ needs;
  • definition of metrics related to models' interpretability and explainability.

What people we’d like to work with

  • with people who are open; 
  • with people who are passionate about new technologies; 
  • with people who enjoy teamwork.

Your benefits

  • market-based salary adjusted to your skills; 
  • private medical care; 
  • multisport card; 
  • flexible working hours; 
  • internal trainings;
  • mentors; 
  • 10% time for self-development; 
  • good coffee; 
  • the possibility of reconciling work and studies.

Let’s set up a meeting!