Data Scientist At Modelway

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

This Tempo pieno on site position offers great opportunities for career growth.Scopra esattamente quali competenze, esperienze e qualifiche sono necessarie per avere successo in questo ruolo prima di candidarsi.Company DescriptionModelway is a software engineering company, expert in AI Solutions, New Generation Control System and Numerical Optimization.
By exploiting the data of a system, our mission is to develop and engineer software solutions in the world of engineering such as virtual sensors, prediction algorithms, digital twins, data analytics, deep learning, controls, and optimizations.
We operate as R&D; and innovation suppliers for several companies in automotive, railway, energy and industry 4.0.Who are we looking forModelway is looking for passionate talented Data Scientist with background in Machine Learning and Deep Learning.
The profile we are interested in, is a flexible person with a good knowledge of AI to face the industry challenges.
If you have these interests,



Modelway could be a challenging opportunity for you.ResponsibilitiesProject requirements definition and literature analysisData processing, data labeling and augmentation, dataset creationDesign, improve and test machine learning and deep learning solutions to achieve the goalSoftware and interface release management by Dash and PyplotRequirementsBackground and experience in machine learning, deep learning and computer visionAbility to develop experimental and analytic plans for data modelling xysqume processesGood organization level and strong attention to detailMaster's degree in computer science or STEMGood knowledge of Python and related libraries (Keras, Tensorflow, ...)Good knowledge of Dash and PyplotFluent English and team working willingnessPlus Big Data Cloud Computing management (AWS, Azure,...)Big Data Analytics and Data EngineerKnowledge C/C++ and Matlab#J-*****-Ljbffr

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