Machine Learning Engineer
Endava
Bucharest, Romania
4 zile în urmă

Responsibilities :

  • Develop machine learning end-to-end applications or modules into production environments according to the requirements;
  • Integrate designed machine learning models in current developed applications;
  • Define the architecture of machine learning systems;
  • Select appropriate data sets and data representation methods;
  • Perform statistical analysis and fine-tuning using test results;
  • Train and retrain ML systems when necessary;
  • Apply software engineering best practices;
  • Run machine learning tests and experiments.
  • Qualifications and Experience

    Skills and experience :

  • Deep knowledge of both supervised and unsupervised machine learning techniques;
  • Good knowledge of algebra, probability, statistics and algorithms;
  • Good knowledge of Python or R;
  • Comfortable with data story telling through visualizations tools and techniques;
  • Familiarity with machine learning frameworks (Keras or PyTorch) and libraries (scikit-learn);
  • Good understanding of data structures, data modeling and software architecture;
  • Good knowledge of distributed computing systems;
  • Good knowledge of OOP (Java or .NET for ML models integration);
  • Good database knowledge both relational and non-relational;
  • Practical NLP, image recognition, information extraction experience;
  • Knowledge of recommendation systems;
  • Knowledge of reinforcement learning will be a plus;
  • The ability to extend existing machine learning libraries and frameworks will be a plus;
  • Good communication skills.
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