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SATE Systems and Advanced Technologies Engineering
Machine Learning Engineer and Data scientistSATE Systems and Advanced Technologies Engineering • Venezia, Italy
Machine Learning Engineer and Data scientist

Machine Learning Engineer and Data scientist

SATE Systems and Advanced Technologies Engineering • Venezia, Italy
4 giorni fa
Descrizione dell’offerta di lavoro

Background

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Master’s degree in Computer Science, Data Science, Physics, Mathematics, or related Engineering fields with up to 5 years of experience.


Activity

You will be part of a multi-disciplinary team that implements innovative AI-based and model-based software solutions for systems health monitoring, diagnostics and data mining for space and/or automotive applications. You will be supported by our team leaders in a professional growth and training path that will gradually lead you to autonomy in data analysis activities and development of models, methods and software solutions.


Requirements


  • Excellent knowledge of advanced techniques of timeseries data analysis and modelling, including signal processing, feature extraction, Machine Learning and Deep learning applied to timeseries.
  • Excellent knowledge of programming in high-level languages (e.g. MATLAB / SIMULINK, Python, C ++, Java);
  • Knowledge of data mining and data cleaning techniques.
  • Knowledge of the English language (read, written and spoken); at least level B2 (CEFR) is required
  • Advanced knowledge of the Microsoft Office environment, in particular Word and Excel. xysqume


What we offer


  • Hiring contract framed according to CCNL trade sector SME.
  • Hybrid remote working options (combination of in-office and work from home)
  • Opportunity to work with cutting-edge technologies, innovative technology projects and software tools development
  • Possibility to be involved in different projects and different fields
  • On-the-job training
  • Direct contact with innovation centers of clients and partners
  • Opportunities to grow in role and responsibilities
  • Company benefits like flexible hours, meal vouchers, online or in-company learning courses, periodical showcases and knowledge sharing sessions, common break/snack room
  • Salary and additional benefit/bonus commensurate with experience, autonomy and objectives achieved


Work Schedule

Full time, Monday through Friday, flexible hours.


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