• R&D and Engineering
  • Italy
  • Cernusco Lombardone


The candidate will join the Industrial Automation department and will be responsible of:

  • Maintenance and development of AI&RPA models currently in production
  • Implementation of data management pipelines, including extraction and transformation of machine learning algorithms up to making available them for training
  • Monitoring of model performance metrics
  • Definition of technical requirements and pre-production tests in collaboration with SW/HW Development team
  • Effective communication of the results obtained, also directed to non-experts
  • Interaction with experts from the various Production Units and departments to identify opportunities for improvement related to the application of machine learning


We are currently on the lookout of candidates with the following characteristics:

  • Graduated or close to graduate, preferably in Data Science, Statistical Sciences, Big data Analytics, Applied Mathematics, Mathematical Engineering or related disciplines with excellent academic results
  • Knowledge of at least one of the following languages: Python, C ++, C #
  • Knowledge of machine learning frameworks (i.e.:Tensorflow, Keras, PyTorch)
  • Passion for data and bearer of a solid foundation in computer science
  • Superior skills in applying mathematical models to production
  • Good analytical skills and results oriented
  • Good interpersonal and communication skills
  • Proactive personality

Previous experience in the following areas is also considered:

  • Ability to use and manage relational databases (eg SQL server, MySQL) and noSQL
  • Big Data Analytics tools (eg. Hadoop, Spark)
  • Computer vision / image processing algorithms

Thesis works carried out in the field of machine learning will be considered a plus.

The profile of the candidate is completed by a strong ability to work in multidisciplinary and international teams, providing both creative and technical contribution. The best candidate is focused to production issues, product optimization, cost savings and process improvement.

A good knowledge of English and the availability for short trips in Italy and abroad are also required.

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