Machine Learning Engineer And Data Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8omos9

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.
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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.
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8omos9