Machine Learning Engineer

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.

• 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.

• 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;

• 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.

• 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 Labor Agreement
• Structured onboarding, mentoring, and continuous learning opportunities.
• Exposure to cutting-edge projects in Aerospace, Defense.
• A collaborative, innovative, and fast-growing technology environment.