Machine Learning Engineer
Pubblicato il 30-08-2026 - TXT GROUP in Italia
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 pr