AI Technology Intern @ Thales
placeGorgonzola, Lombardy, Italy
attach_money €20,000
businessOn Site
scheduleFull Time
Posted 17 hours ago
Your Application Journey
Interview
Email Hiring Manager
****** @thalesgroup.com
Recommended after applying
Job Details
Overview
Thales in Gorgonzola, Italy, is seeking a motivated AI Technology Intern with a strong academic background in engineering, mathematics, computer science, or related fields. Join our AI-focused team to optimize and automate internal processes using advanced AI techniques.
Role Responsibilities
- Analyze AI use cases with team collaboration.
- Design improvements to current AI models and processes.
- Document analyses and develop comprehensive plans.
- Engage in hands-on development with equipment and software.
- Present findings and progress in English.
Skills And Qualifications
- Strong academic background in engineering, mathematics, or related fields.
- Proficiency in Python and C++ programming.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Keras.
- Experience in UI development with Qt, HTML, JavaScript, CSS, and REST APIs.
- Excellent organizational, documentation, and presentation skills.
- Eagerness to learn, innovate, and work in a team setting.
About Thales
At Thales, 80,000 employees in 68 countries collaborate to create innovative solutions across aerospace, transportation, defence, security and space. Our dynamic environment encourages flexible careers and continuous growth.
Key skills/competency
- AI
- Python
- C++
- Machine Learning
- TensorFlow
- PyTorch
- Keras
- UI Development
- Qt
- REST API
How to Get Hired at Thales
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI, programming education, and projects.
- Show technical skills: Emphasize Python, C++, and ML framework expertise.
- Research Thales: Understand their innovation and aerospace projects.
- Prepare for interviews: Practice technical and situational questions.
📝 Interview Preparation Advice
Technical Preparation
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Review Python and C++ projects.
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Practice machine learning framework exercises.
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Study AI model improvement techniques.
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Test UI development implementations.
Behavioral Questions
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Describe a time you solved complex problems.
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Explain your team collaboration experience.
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Discuss how you handle project challenges.
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Share experiences on receiving constructive feedback.
Frequently Asked Questions
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