You graduated from an Engineering School with a bachelors or master’s degree
Your level of experience ranges from junior to advance: you are a student OR/AND you have already occupied one or more positions among the following: Algorithm or Software Engineer, Artificial Intelligence Engineer
You are curious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design)
You enjoy thinking "outside the box" and use your creativity to address complex challenges
You are recognized as a team player and promote collaborative work
You are user centric and want to design components accordingly
COMPETENCIES:
You have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility
You are proficient in one of the following Artificial Intelligence Approches:
Data driven AI, Symbolic AI, Hybrid AI on the Solution
Symbolic Artificial Intelligence and reasoning
Human/machine dialog
Systems Analysis
You understand the norms, laws and standards
You have knowledge of cybersecurity
You can confidently discuss with people from different jobs and background
You master foundational concepts in mathematics/ statistics science and their application to deploy them on Solution studies: statistical modelling, linear algebra, optimisation, machine learning Mathematics and Statistics
LIFE AS A THALES ARTIFICIAL INTELLIGENCE ENGINEERING ROLEAs an Artificial Intelligence Engineering Role within Thales, you will:
Design and develop trustworthy artificial intelligence components for various domains
Identify the right cutting-edge Artificial Intelligence technologies (machine learning, symbolic AI, dialogue) and develop the Artificial Intelligence component accordingly
Work on Natural Language Processing (NLP) and Understanding (NLU), and also to design multimodal approaches for Human-Machin Dialog including intention understanding, reasoning and hybrid AI
Work on Machine Learning, causality vs. correlation, and/or other Data driven AI technics 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 approach alternatives
Integrate scientific method into engineering system methodology
Ensure data knowledge and traceability
Ensure continuous techno watch and be aware of the latest trends (technical, philosophical, ethical by design)
Define the system capabilities thanks to a functional, logical and value analysis, describing functions to be performed to meet the real needs of the user in the various scenarios and maximizing product value for Customer
