TXT e-Tech , part of the TXT Group, is seeking a Software Developer for its Aerospace & Aviation division to work on projects focused on the design and development of solutions based on Machine Learning and Deep Learning models for a major client in the industry. The selected candidate will be involved in all phases of the software development lifecycle, working within a structured, quality-oriented technical environment.
Key Responsibilities Development, training, validation, and integration of machine learning and deep learning models;
Validation, optimization, and testing of developed models;
Construction and maintenance of end-to-end training and inference pipelines;
Integration of ML models into the rest of the application architecture;
Maintenance and evolution of existing ML components
Analysis of the software architecture and requirements management.
Required technical skills 1–2 years of proven work experience in a similar role;
Experience with PyTorch (or equivalent deep learning frameworks), including neural networks;
Experience with NumPy;




Experience building training and inference pipelines;
Good knowledge of Python for backend development (e.g., FastAPI, Flask, Django);
Experience designing and integrating APIs (REST, gRPC);
Good knowledge of relational (PostgreSQL) and non-relational (Mongo) databases;
Nice to have Strong knowledge of JavaScript;
Familiarity with front-end frameworks (React);
Familiarity with Linux systems and key administration tools;
Experience with Docker;
Familiarity with Kubernetes for orchestration and deployment in cloud environments.
Education Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering.
What We Offer The contract offered for this position is a permanent one, and the salary range for this position is between EUR 29.000 € and EUR 34.000 € gross per year.
The grading/level will be defined during the selection process based on the candidate's profile and in accordance with the National Collective

📌 Machine Learning Engineer (Torino)
🏢 Altro
📍 Torino