AI & Simulation Engineer for Training Systems
TXT e-Tech is looking for an AI & Simulation Engineer to join a multidisciplinary team dedicated to developing innovative software solutions for advanced training systems. The successful candidate will contribute to the design, implementation, and integration of models based on Artificial Intelligence and Machine Learning, with applications in simulated scenarios and synthetic environments.
Main responsibilities
- Data analysis and processing;
- Design and development of Machine Learning and Deep Learning algorithms;
- Model validation, optimization and tuning;
- Integration of software modules into training and simulation systems;
- Development of control models for entities to be integrated into synthetic environments;
- Testing activities, analysis and reporting of achieved results.
Required technical skills
- Knowledge of Python programming language and related libraries such as NumPy, Pandas and Matplotlib;
- Good knowledge of C++;
- Data preprocessing techniques;
- Management of complex datasets;
- Ability to tune and optimize Machine Learning and Deep Learning models;
- Knowledge of modern neural network architectures, including CNNs (Convolutional Neural Networks),
RNNs (Recurrent Neural Networks) and Transformers.
Knowledge of DIS and HLA communication protocols would be an advantage. The ideal candidate will have excellent English language skills, be a team player, flexible, and proactive. They will be bright and dynamic, with strong problem-solving skills.
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 permanent, and the expected salary is between €27.000 and €30.000 gross per year.
- The classification will be defined during the selection process based on the candidate's profile and in accordance with the National Collective Bargaining Agreement.
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 its forms.
Main responsibilities
- Data analysis and processing;
- Design and development of Machine Learning and Deep Learning algorithms;
- Model validation, optimization and tuning;
- Integration of software modules into training and simulation systems;
- Development of control models for entities to be integrated into synthetic environments;
- Testing activities, analysis and reporting of achieved results.
Required technical skills
- Knowledge of Python programming language and related libraries such as NumPy, Pandas and Matplotlib;
- Good knowledge of C++;
- Data preprocessing techniques;
- Management of complex datasets;
- Ability to tune and optimize Machine Learning and Deep Learning models;
- Knowledge of modern neural network architectures, including CNNs (Convolutional Neural Networks),
RNNs (Recurrent Neural Networks) and Transformers.
Knowledge of DIS and HLA communication protocols would be an advantage. The ideal candidate will have excellent English language skills, be a team player, flexible, and proactive. They will be bright and dynamic, with strong problem-solving skills.
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 permanent, and the expected salary is between €27.000 and €30.000 gross per year.
- The classification will be defined during the selection process based on the candidate's profile and in accordance with the National Collective Bargaining Agreement.
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 its forms.