TXT e-Tech, part of the TXT Group, is looking for a Software Engineer – Machine Learning to join the Aerospace & Defence division, within a highly innovative, technologically advanced project. Main responsibilities Design and implement data collection and preparation pipelines, building customized datasets for the training and validation of neural networks. Develop and optimize artificial intelligence algorithms in the fields of Computer Vision and Aural Recognition. Manage the deployment and integration of models within the software platform currently under development. Contribute to the definition of technical and functional requirements, working closely with system engineers and the development team to align solutions with project goals. Support documentation and qualification activities, in compliance with aeronautical industry standards. Collaborate closely with robotics, software, and system engineering teams, actively participating in the integration of complex systems in a high-tech environment. Required technical skills Solid knowledge of major deep learning frameworks (PyTorch, TensorFlow) In-depth knowledge of main libraries for computer vision and audio analysis (e.g., OpenCV, Pillow, Librosa) Excellent command of the English language (business fluent) Strong knowledge of C++ and Python Familiarity with the Microsoft Office suite Preferred qualifications Experience with ROS Experience with Linux-based operating systems Skills in sensor integration Familiarity with databases Knowledge of object-oriented programming (OOP) At least 1 year of prior professional experience Soft skills Ability to work in a team, communicate effectively, and build professional relationships Strong motivation and ability to work independently Educational requirements Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Music and Acoustic Engineering, Electronic Engineering, or Physics of Complex Systems What TXT Group Offers Career development paths in a fast-growing and evolving environment, characterized by a young and international team Continuous training on technical-scientific and methodological topics Integration into a cohesive team, with dynamic learning opportunities from experienced colleagues Flexible and hybrid working arrangements Position open to candidates regardless of gender, in accordance with Legislative Decree 198/2006. The company promotes equal opportunities and values diversity in all its forms. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting Note: Referrals increase your chances of interviewing at TXT GROUP. J-18808-Ljbffr