T

Thales

Global defense and aerospace electronics

Data AI Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeLa Ferté-Saint-Aubin, FranceNo salary listedIn-person

About the Job

Requirements

  • Have a bac+5 degree specialized in development in an industrial environment.
  • Have at least 5 years of experience with Dataiku, the Thales ETL (IDS data model and data sending and extraction methods), development in Python, C# or C++, Power BI dashboard development, and SQL.
  • Have professional-level English.
  • Demonstrate the ability to manage projects in a complex, changing environment.
  • Have experience leading a multidisciplinary team and achieving tangible, lasting results.
  • Have experience supporting teams through significant change.
  • Have knowledge of project management.

Responsibilities

  • Define and deploy the industrial Data and AI strategy in alignment with the Industry 4.0 roadmap and site performance objectives.
  • Gather and analyze business needs across engineering, production, quality, maintenance, supply chain, and bids and projects to identify opportunities to create value from data.
  • Define, structure, and maintain performance indicators for managing industrial activities, ensuring their consistency and reliability.
  • Design and develop Power BI dashboards to monitor operational performance in real time and support decision-making.
  • Ensure the quality, governance, and use of industrial data from collection through delivery to users.
  • Identify, develop, and industrialize AI use cases, particularly in predictive maintenance, process optimization, product quality, and energy efficiency.
  • Develop and deploy analytical and AI models using Python, Dataiku, or equivalent tools, ensuring robustness and performance.
  • Design and implement computer vision and industrial image-analysis solutions, including automated inspection and radiographic X-ray inspection applications.
  • Participate in architecture decisions, industrialization, and securing Data and AI solutions in accordance with compliance, cybersecurity, and data governance requirements.
  • Support business teams in adopting deployed solutions, promote Data and AI best practices, and maintain ongoing awareness of market innovations.

Desired Qualifications

  • Adaptability, autonomy, responsiveness, and the ability to bring people together and share knowledge are identified as strengths.
  • Organization, rigor, commitment, initiative, cooperation across entities and business functions, communication, and interest in digital methods and tools are identified as strengths.
  • Curiosity, innovation, and observational skills are identified as additional assets.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

Recently Posted Jobs

Explore more opportunities at Thales

See more jobs