Artificial Intelligence Space Engineer

A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high‑tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators) therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate. Artificial Intelligence Engineering CANDIDATES THAT WOULD IMPRESS US PROFILE Graduated from an Engineering School with a master’s degree – a PhD is a plus Experience ranging from junior to advanced; can be a student or have worked as an Algorithm or Software Engineer, Artificial Intelligence Engineer Curious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design) Enjoys thinking “outside the box” and uses creativity to address complex challenges Recognised as a team player who promotes collaborative work User‑centric and wants to design components accordingly COMPETENCIES In‑depth 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 Artificial Intelligence and reasoning, Human/machine dialog, Systems analysis Understanding of norms, laws and standards, knowledge of cybersecurity Ability to confidently discuss with people from different jobs and backgrounds Foundational concepts in math/statistics science and their application (statistical modelling, linear algebra, optimisation, machine learning) NICE TO HAVE Working heritage on major satellite Earth Observation and Navigation systems Simulation by tools such as Matlab & Simulink Adopting 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 in particular Python (PyTorch), Java, C++ and relevant Data Science packages (numpy, scipy, scikit‑learn, pandas, …) Good knowledge of operating systems LIFE AS A THALES AI ENGINEERING ROLE Design and develop trustworthy artificial intelligence components for various domains Identify the right cutting‑edge AI technologies (machine learning, symbolic AI, dialogue) and develop AI components accordingly Work on NLP and 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, … Work on Symbolic AI, ontology, semantic web, knowledge‑based reasoning, meta‑heuristics, problem solving, operations research, decision making and reasoning Propose and design alternative approaches Integrate scientific method into engineering system methodology Ensure data knowledge and traceability Ensure continuous technowatch and be aware of the latest trends (technical, philosophical, ethical by design) Define system capabilities through functional, logical and value analysis, describing functions to be performed to meet user needs and maximize product value for the customer YOUR CAREER AT THALES Future opportunities to discover other domains or sites, evolve and grow competences in different areas Room and attention to personal development Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex solution Choose between a technical expertise or a leadership path Build an international career within a leading engineering group Mobility policy enabling employees to develop careers at home and abroad #J-18808-Ljbffr