Machine Learning Engineer Contract
Pubblicato il 26-08-2026 - TXT GROUP in Torino
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.
Main Responsibilities:
Development, training, validation, and integration of machine learning and deep learning models;
Validation, optimization, and testing of developed models;
Maintenance and enhancement of existing ML components;
Software architecture analysis and requirements management.
Required technical skills :
Knowledge of PyTorch (or equivalent deep learning frameworks), including neural networks;
Knowledge of NumPy;
Knowledge of the principles of building training and inference pipelines;
Knowledge of relational (PostgreSQL) and non-relational (Mongo) databases.
Optional technical skills:
Familiarity with Linux systems and key administration tools;
Knowledge of Docker.
Education : Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering.
Why choose TXT GROUP:
Career opportunities in a fast-growing and profoundly changing company with international staff;
Training on business-related topics;
Corporate Benefits (health insurance, welfare, Buoni pasto, discounts as a group employee).
The contract offered for this position is a permanent one, and the salary range for this position is between EUR 25.000 € and EUR 30.000 € 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 Labor Agreement (Metalworking Industry).
This position is open to all applicants regardless of gender in accordance with Legislative Decree 198⁄2006 . The company promotes equal opportunities and values diversity in all