Machine Learning Engineer and Data scientist

ph3Background /h3 pMaster’s degree in Computer Science, Data Science, Physics, Mathematics, or related Engineering fields with up to 5 years of experience. /p h3Activity /h3 pYou 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. /p h3Requirements /h3 ul liExcellent knowledge of advanced techniques of timeseries data analysis and modelling, including signal processing, feature extraction, Machine Learning and Deep learning applied to timeseries. /li liExcellent knowledge of programming in high-level languages (e.g. MATLAB / SIMULINK, Python, C ++, Java); /li liKnowledge of data mining and data cleaning techniques. /li liKnowledge of the English language (read, written and spoken); at least level B2 (CEFR) is required /li liAdvanced knowledge of the Microsoft Office environment, in particular Word and Excel. /li /ul h3What we offer /h3 ul liHiring contract framed according to CCNL trade sector SME. /li liHybrid remote working options (combination of in-office and work from home) /li liOpportunity to work with cutting-edge technologies, innovative technology projects and software tools development /li liPossibility to be involved in different projects and different fields /li liOn-the-job training /li liDirect contact with innovation centers of clients and partners /li liOpportunities to grow in role and responsibilities /li liCompany benefits like flexible hours, meal vouchers, online or in-company learning courses, periodical showcases and knowledge sharing sessions, common break/snack room /li liSalary and additional benefit/bonus commensurate with experience, autonomy and objectives achieved /li /ul h3Work Schedule /h3 pFull time, Monday through Friday, flexible hours. /p /p #J-18808-Ljbffr