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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.

Junior Python Data Scientist

What you’ll do

You will be a part of a research team solving clients’ business problems and working on leading solutions in the fields of: machine learning model diagnostics, active learning or big data. You will focus on data preprocessing, model creation and implementation of novel machine learning algorithms under the tutelage of more experienced colleagues.

What you need to know

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

Nice to have

  • ML systems architecture;
  • computer vision;
  • active learning;
  • XAI;
  • sound processing;
  • anomaly detection;
  • drift detection;
  • pytest.

What your tasks will be

  • data analysis;
  • implementation of machine learning models fulfilling clients’ needs;
  • benchmarking of state of the art machine learning algorithms;
  • novel machine learning algorithms implementation.

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; 
  • good location in the city of Warsaw (Wola), next to Zawiszy Square.

Let’s set up a meeting!