ThalesArtificial Intelligence Space Engineer
Thales is hiring an Artificial Intelligence Space Engineer. Level rates it ; you can apply on Thales.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include scikit-learn, MATLAB and Simulink.
- Level lists 3,600+ other open roles at Thales.
AI in this role
Artificial Intelligence Space Engineer developing advanced AI algorithms and machine learning solutions for satellite observation and navigation systems.
We are looking for an Artificial Intelligence Engineering
CANDIDATES THAT WOULD IMPRESS US:
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
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
NICE TO HAVE:
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 Edgetechnologies
Knowledge of object programming in particular Python (Pyorch) , 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-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 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 the various scenarii and maximising product value for Customer
YOUR CAREER AT THALES
Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your 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
Permanent
Experience: 1-7 Years
CCNL Met/Ind – B2 Category
€ 35.884,96 - € 43.126,00
Performance Bonus (PDR): up to € 4.025
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!How we rate this
Artificial Intelligence Space Engineer at Thales rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where algorithms was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Artificial Intelligence, Algorithms, Machine learning, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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