Space AI Engineer: Hybrid & NLP Systems

Thales; Roma; In loco; EUR 36.000 - 43.000; Tempo pieno

Descrizione del lavoro

Thales Alenia Space in Italy seeks an Artificial Intelligence Engineer to design and develop trustworthy AI components across domains, including NLP and multimodal dialogue. You will identify cutting-edge AI technologies and apply them to real-world space challenges, with emphasis on user-centric design and collaborative teamwork.

The ideal candidate holds a master’s degree in engineering (PhD a plus), and has experience in algorithms, software engineering, and AI methods (data-driven, symbolic,

Competenze

• Master's degree in engineering; PhD a plus.
• Strong knowledge in mathematics and algorithms with agile practice.
• Experience with AI approaches: data-driven, symbolic, and hybrid.
• Proficiency in Python, PyTorch, and data science packages.

Mansioni

• Design and develop trustworthy AI components for various domains.
• Identify cutting-edge AI technologies (ML, symbolic AI, dialogue) and apply them.
• Work on NLP and multimodal human–machine dialogue, including intention understanding.
• Explore causality, data-driven AI methods, and statistical modelling.
• Ensure data knowledge, traceability, and alignment with user needs.

Conoscenze

Mathematics

Algorithms

Agility

Data driven AI

Symbolic AI

Human/machine dialog

Systems Analysis

Cybersecurity

Python

Pytorch

Java

C++

Matlab/Simulink

Data Science packages

Formazione

Master's degree in Engineering

PhD (plus)

Strumenti

Python

Pytorch

Java

C++

Numpy

SciPy

Scikit-learn

Pandas

Matlab

Simulink

Descrizione del lavoro

Thales Alenia Space in Italy seeks an Artificial Intelligence Engineer to design and develop trustworthy AI components across domains, including NLP and multimodal dialogue. You will identify cutting-edge AI technologies and apply them to real-world space challenges, with emphasis on user-centric design and collaborative teamwork.

The ideal candidate holds a master’s degree in engineering (PhD a plus), and has experience in algorithms, software engineering, and AI methods (data-driven, symbolic,