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AI / Machine LearningOnsite

Data / AI Engineer Apprenticeship

Thales - Company

Meudon, Boulogne-Billancourt, ๐Ÿ‡ซ๐Ÿ‡ท FranceInternship - Internship0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Meudon, Boulogne-Billancourt
  • Work mode: Onsite
  • Employment type: Internship (Internship role)
  • Salary: Salary details are available in the employer description.

Role overview

Thales is seeking a Data / AI Engineer apprentice to join their innovation team in Meudon, France. This apprenticeship offers hands-on experience in data engineering and artificial intelligence within a global high-tech leader specializing in Defence & Security, Aerospace & Space, and Cyber & Digital sectors. You will contribute to cutting-edge projects that shape a safer, more sustainable, and inclusive world.

Job details

This is an apprenticeship (alternance) position based in Meudon, Boulogne-Billancourt, France, working onsite at Thales facilities. The role is structured as an internship program combining academic study with practical work experience. Salary details and compensation structure are available in the employer description. You will work alongside experienced engineers on real-world data and AI initiatives within a company that invests approximately 4.5 billion euros annually in Research & Development.

Responsibilities

  • Develop and implement data pipelines and AI models
  • Collaborate with R&D teams on innovation projects
  • Analyze large datasets to extract actionable insights
  • Support deployment of AI solutions in production environments
  • Document technical processes and findings

Requirements

  • Currently enrolled in engineering or computer science program
  • Strong foundation in Python and data structures
  • Knowledge of machine learning concepts and frameworks
  • Analytical mindset with problem-solving skills
  • Fluency in French and English

Benefits

  • Work on cutting-edge AI and data projects
  • Mentorship from experienced engineers
  • Exposure to Defence, Aerospace, and Cyber sectors
  • Access to R&D resources and innovation labs

Keywords

Data EngineeringArtificial IntelligenceMachine LearningPythonData AnalysisAI DevelopmentResearchInnovation