Artificial Intelligence Space Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79yyvi

Artificial Intelligence Engineer

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We are looking for an Artificial Intelligence Engineer to design and develop trustworthy AI components for various domains at Thales Alenia Space.

Responsibilities

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- Design and develop trustworthy artificial intelligence components for various domains.

- Identify the right cutting‑edge AI technologies (machine learning, symbolic AI, dialogue) and develop components accordingly.

- Work on Natural Language Processing (NLP) and Natural Language Understanding (NLU) and design multimodal approaches for Human‑Machine Dialog including intention understanding, reasoning and hybrid AI.

- Work on Machine Learning, causality vs. correlation, and other data‑driven AI techniques such as Random Forest, Evolutionary Algorithms, etc.

- Work on Symbolic AI, Ontology, Semantic Web, Knowledge‑based Reasoning, Meta‑heuristics, Problem Solving, Operations Research, Decision Making and reasoning.

- Propose and design approach alternatives.

- Integrate scientific method into engineering system methodology.

- Ensure data knowledge and traceability.

- Ensure continuous technowatch and keep aware of the latest trends (technical, philosophical, ethical by design).

- Define system capabilities through functional, logical and value analysis, describing functions to meet real user needs across scenarios and maximise product value for the customer.

Qualifications

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- Graduated from an engineering school with a master’s degree (PhD is a plus).

- Experience ranging from junior to advanced; can be a student or have held positions such as Algorithm or Software Engineer, Artificial Intelligence Engineer.

- Strong knowledge in mathematics, algorithms, experiment planning, continuous iterations and agility.

- Proficient in one of the following AI approaches: data‑driven AI, symbolic AI, hybrid AI, symbolic AI and reasoning, human/machine dialog, systems analysis.

- Understanding of norms, laws and standards.

- Knowledge of cybersecurity.

- Ability to communicate confidently with people from different backgrounds.

- Mastery of foundational math/statistics concepts and their application to solution studies, e.g., statistical modelling, linear algebra, optimisation, machine learning.

Nice to Have

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- Working experience on major satellite Earth Observation and Navigation systems.

- Simulation using tools such as Matlab & Simulink.

- Adoption of modern Agile and DevOps processes.

- Knowledge of data analysis and big data technologies.

- Knowledge of cloud technologies and architectures.

- Knowledge of edge technologies.

- Knowledge of object‑oriented programming, especially Python (PyTorch), Java, C ++ and relevant data science packages (numpy, scipy, scikit‑learn, pandas, etc.).

- Good knowledge of operating systems.

Experience & Compensation

Permanent. xysqume Experience: 1-7 Years.

Salary: €35,884.96 – €43,126.00 plus performance premio up to €4,025.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79yyvi