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 benefit/bonus commensurate with experience, autonomy and objectives achieved

Work Schedule

Tempo pieno, Monday through Friday, flexible hours.

Machine Learning Engineer and Data scientist

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