Logo of Huzzle

Home

Matches

Explore

Manage

AI Expert

image

Thales

2mo ago

  • Job
    Full-time
    Entry, Junior, Mid & Senior Level
  • Engineering
    IT & Cybersecurity
  • Rome

AI generated summary

  • You should have a master’s in engineering (PhD preferred), experience in AI/algorithms, strong math skills, collaborative spirit, user-centric design focus, and proficiency in AI methodologies.
  • You will design AI components, develop NLP and multimodal approaches, explore machine learning and symbolic AI, ensure data traceability, and analyze system capabilities for user needs.

Requirements

  • 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: 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

Responsibilities

  • 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, …
  • 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 scenarios and maximising product value for Customer

FAQs

What qualifications are required for the AI Expert position?

Candidates must have graduated from an Engineering School with a master's degree; a PhD is a plus.

What level of experience is preferred for this role?

We consider candidates from junior to advanced levels, including students or those with prior experience in roles such as Algorithm or Software Engineer, or Artificial Intelligence Engineer.

Is knowledge of the latest AI trends important for this position?

Yes, candidates should be curious and willing to stay abreast of the latest trends in AI, including technical, philosophical, and ethical aspects.

What are the key competencies needed for the AI Expert role?

Key competencies include in-depth knowledge in mathematics and algorithms, proficiency in various Artificial Intelligence approaches, understanding of norms and laws, knowledge of cybersecurity, and foundational concepts in statistics and machine learning.

Will I be involved in designing AI components for multiple domains?

Yes, as an Artificial Intelligence Engineer, you will design and develop trustworthy artificial intelligence components for various domains.

What kind of projects can I expect to work on?

Projects will include Natural Language Processing (NLP), Human-Machine Dialog, Machine Learning techniques, Symbolic AI, and integrating scientific methods into engineering methodologies.

Are there opportunities for personal development within Thales?

Yes, Thales encourages personal development, allowing employees to grow competencies in different areas, discover new products, and choose between technical expertise or leadership paths.

Can I expect to travel or relocate within the company?

Yes, there are opportunities to develop your career at home and abroad, as Thales promotes mobility among its employees.

What is the company culture like at Thales Alenia Space?

The company values diversity of skills, talents, and cultures, encouraging collaborative work and user-centric design approaches.

Is there a focus on ethical AI development at Thales?

Yes, candidates are expected to be aware of and incorporate the latest trends and considerations around ethical AI design in their work.

image

Thales

Build a future we can all trust.

Consulting
Industry
10,001+
Employees
2000
Founded Year

Mission & Purpose

Thales is a global technology leader with more than 77,000 employees on five continents. The Group is investing in digital and “deep tech” innovations – Big Data, artificial intelligence, connectivity, cybersecurity and quantum technology – to build a future we can all trust. Trust is essential for societies to flourish, with humans playing a central role in every critical decision. Thales's high-tech solutions, services and products help companies, organisations and governments to achieve their goals and ambitions. And in each of our five vertical markets — digital identity and security, defence and security, aerospace, space, and transport — our customers play a vital role in society.