• R&D and Engineering
  • Italy
  • Cernusco Lombardone


  • Maintain and develop AI models currently in production
  • Implement data management pipeline, from data extraction and transformation to making machine learning algorithms available for training
  • Monitor model performance metrics
  • Define technical requirements and pre-production tests in collaboration with SW/HW development teams
  • Effectively communicate the results obtained, even to non-specialists
  • Interact with experts from different production units and departments to identify improvement opportunities related to the application of machine learning


  • Graduate or undergraduate, preferably in Data Science, Statistical Science, Big Data Analytics, Applied Mathematics, Mathematical Engineering or similar subjects, with excellent academic results
  • Knowledge of at least one of the following languages: Python, C++, C#
  • Knowledge of machine learning frameworks (Tensorflow, Keras, PyTorch, …)
  • Passion for data and solid foundation in computer science
  • Good skills in applying mathematical models to production realities
  • Good analytical skills and result-oriented
  • Good interpersonal and communication skills
  • Proactive mindset


Previous experience in the following areas:

  • Ability to use and manage relational databases (e.g. SQL server, MySQL) and NoSQL
  • Big Data Analytics Tools (e.g. Hadoop, Spark)
  • Artificial vision/image processing algorithms


Thesis work in the field of machine learning is a plus

Strong ability to work in multidisciplinary and international teams, making a creative technical contribution, attentive to production problems, product optimisation, cost saving and process improvement.

Good knowledge of English and availability to go on assignments in Italy and abroad are also required.

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