Machine learning engineer and data scientist
Pubblicato il 30-08-2026 - SATE Systems and Advanced Technologies Engineering in Italia
Background 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.
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 agevolazioni/bonus commensurate with experience, autonomy and objectives achieved Work Schedule Full time, Monday through Friday, flexible hours.