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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) have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.

You graduated from an Engineering School with a master’s degree – a PhD is a plus.
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 recognised as a team player and promote collaborative work.
You are user centric and want to design components accordingly.

You have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility.
You are proficient in one of the following Artificial Intelligence Approaches:

1. Data driven AI
2. Symbolic AI
3. Hybrid AI on the Solution

You understand the norms, laws and standards.
You have knowledge of cybersecurity.
You can confidently discuss with people from different jobs and backgrounds.
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.

• Working heritage on major satellite Earth Observation and Navigation systems
• Simulation by tool 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 programming in particular Python (Pytorch), Java, C++ and relevant Data Science packages (such as numpy, scipy, scikit-learn, pandas…)
• Good knowledge of operating systems

As 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-Machine Dialog including intention understanding, reasoning and hybrid AI.
• Work on Machine Learning, causality vs. correlation, and/or 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 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 various scenarios and maximizing product value for Customer.

Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competencies 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.

At Thales Alenia Space we provide CAREERS and not only jobs. With Thales Alenia Space employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. Great journeys start here, apply now!

Thales

Senior (5+ years of experience)

Tagged as: Big Data, Data Analysis, Industry, Italy, Natural Language Processing, NLP