PpA 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. /p h3Artificial Intelligence Engineering /h3 h3CANDIDATES THAT WOULD IMPRESS US /h3 h3PROFILE /h3 ul liGraduated from an Engineering School with a master’s degree – a PhD is a plus /li liExperience ranging from junior to advanced; can be a student or have worked as an Algorithm or Software Engineer, Artificial Intelligence Engineer /li liCurious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design) /li liEnjoys thinking “outside the box” and uses creativity to address complex challenges /li liRecognised as a team player who promotes collaborative work /li liUser‑centric and wants to design components accordingly /li /ul h3COMPETENCIES /h3 ul liIn‑depth knowledge in mathematics, algorithms, experiment planning, continuous iterations and agility /li liProficient in one of the following AI approaches: Data‑driven AI, Symbolic AI, Hybrid AI, Symbolic Artificial Intelligence and reasoning, Human/machine dialog, Systems analysis /li liUnderstanding of norms, laws and standards, knowledge of cybersecurity /li liAbility to confidently discuss with people from different jobs and backgrounds /li liFoundational concepts in math/statistics science and their application (statistical modelling, linear algebra, optimisation, machine learning) /li /ul h3NICE TO HAVE /h3 ul liWorking heritage on major satellite Earth Observation and Navigation systems /li liSimulation by tools such as Matlab Simulink /li liAdopting modern Agile and DevOps processes /li liKnowledge of data analysis and big data technologies /li liKnowledge of cloud technologies and architectures /li liKnowledge of edge technologies /li liKnowledge of object‑oriented programming in particular Python (PyTorch), Java, C++ and relevant Data Science packages (numpy, scipy, scikit‑learn, pandas, …) /li liGood knowledge of operating systems /li /ul h3LIFE AS A THALES AI ENGINEERING ROLE /h3 ul liDesign and develop trustworthy artificial intelligence components for various domains /li liIdentify the right cutting‑edge AI technologies (machine learning, symbolic AI, dialogue) and develop AI components accordingly /li liWork on NLP and NLU, and design multimodal approaches for human‑machine dialog including intention understanding, reasoning and hybrid AI /li liWork on machine learning, causality vs. correlation, and other data‑driven AI techniques such as Random Forest, Evolutionary Algorithms, … /li liWork on Symbolic AI, ontology, semantic web, knowledge‑based reasoning, meta‑heuristics, problem solving, operations research, decision making and reasoning /li liPropose and design alternative approaches /li liIntegrate scientific method into engineering system methodology /li liEnsure data knowledge and traceability /li liEnsure continuous technowatch and be aware of the latest trends (technical, philosophical, ethical by design) /li liDefine system capabilities through functional, logical and value analysis, describing functions to be performed to meet user needs and maximize product value for the customer /li /ul h3YOUR CAREER AT THALES /h3 ul liFuture opportunities to discover other domains or sites, evolve and grow competences in different areas /li liRoom and attention to personal development /li liBuild your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex solution /li liChoose between a technical expertise or a leadership path /li liBuild an international career within a leading engineering group /li liMobility policy enabling employees to develop careers at home and abroad /li /ul /p #J-18808-Ljbffr