A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science, and orbital infrastructures for over 40 years. Our diverse skills, talents, and cultures enable our customers—including governments, institutions, space agencies, and telecommunications operators—to Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.
Artificial Intelligence Engineering
Candidates That Would Impress Us
Profile:
* You graduated from an Engineering School with a master’s degree – a PhD is a plus.
* Your experience ranges from junior to advanced: you are a student OR/AND have held roles such as Algorithm or Software Engineer, Artificial Intelligence Engineer.
* You are curious and eager to stay updated on the latest trends (technical, philosophical, ethical by design).
* You enjoy thinking "outside the box" and use your creativity to solve complex challenges.
* You are recognized as a team player and promote collaborative work.
* You are user-centric and aim to design components accordingly.
Competencies:
* Deep knowledge in mathematics, algorithms, experiment planning, continuous iterations, and Agile methodologies.
* Proficiency in one or more AI approaches: Data-driven AI, Symbolic AI, Hybrid AI, Human/Machine dialogue, Systems Analysis.
* Understanding of norms, laws, and standards.
* Knowledge of cybersecurity.
* Ability to communicate confidently with multidisciplinary teams.
* Foundational concepts in mathematics/statistics and their application in solution studies: statistical modeling, linear algebra, optimization, machine learning.
Nice to Have:
* Experience with satellite Earth Observation and Navigation systems.
* Experience with simulation tools like Matlab & Simulink.
* Familiarity with modern Agile and DevOps practices.
* Knowledge of data analysis, big data, cloud technologies, edge technologies.
* Proficiency in object-oriented programming (Python, Pytorch, Java, C++), and data science packages (numpy, scipy, scikit-learn, pandas).
* Good understanding of operating systems.
Life as a Thales AI Engineer
As an AI Engineer at Thales, you will:
* Design and develop trustworthy AI components for various domains.
* Select and develop AI technologies such as machine learning, symbolic AI, and dialogue systems.
* Work on Natural Language Processing (NLP), Understanding (NLU), and multimodal Human-Machine dialogue including reasoning and hybrid AI approaches.
* Implement data-driven AI techniques like Random Forests and Evolutionary Algorithms.
* Work on Symbolic AI, Ontology, Semantic Web, Knowledge-based Reasoning, and Decision Making.
* Propose and evaluate alternative approaches.
* Integrate scientific methods into engineering systems and ensure data traceability.
* Stay updated on the latest trends (technical, philosophical, ethical).
* Define system capabilities through functional, logical, and value analyses to meet user needs and maximize value.
Your Career at Thales
Opportunities for growth include exploring different domains, sites, and roles—whether technical or leadership. Thales offers international career paths, personal development, and the chance to work on innovative projects across multiple countries.
Summary
* Location: Roma
* Type: Full time
#J-18808-Ljbffr