Neolaureato - Machine Learning Engineer
Core
Developing software for Machine Learning and Deep Learning applications in the Aerospace, Defense & Security sector, focusing on dynamic system prognostics.
Role type
Machine Learning Engineer
Builds
Production ML models and simulation tools for aerospace systems
Domain
Aerospace, Defense & Security
Deliverable
production ML models
Required skills
Python (OOP), GPU programming, large dataset management, data collection and organization for dynamic system prognostics, Secure Coding practices, vulnerability management
Preferred skills
MATLAB and Simulink, scikit-learn, knowledge of Aerospace/Aeronautics regulations
Technologies
Python, TensorFlow, pandas, numpy, matplotlib, Visual Studio Code, Spyder, PyCharm, Git, SVN
Responsibilities
Develop and analyze ML/Deep Learning models and software, create optimized GPU programming, build GUIs and data visualization tools for batch test campaigns
Seniority
Junior (New Graduate/Thesis or PhD level)
