Smart Factory Solutions Internship at Magna
Job Description
Looking for a hands-on internship where you can work on AI, data, and real applications? Join our team to gain practical experience in Data engineering, Artificial Intelligence, and Full-Stack Development. You’ll work on real projects, learn modern tools, and collaborate with experienced engineers.
Your Responsibilities
- Analyze and work with real-world datasets
- Work on the ETL operations and data analysis.
- Support development of AI/ML models and data-driven features
- Build and improve web applications (frontend + backend)
- Create or integrate APIs and data services
- Develop simple dashboards or visualizations
- Debug, test, and enhance existing systems
Who we are looking for
- Pursuing a degree (Masters preferred) in Computer Science, Data Science, or related field
- Basic knowledge of Python and/or JavaScript and any additional languages
- Understanding of data structures and programming fundamentals
- Interest in AI/ML and data analysis
- Strong problem-solving skills and willingness to learn
Your preferred qualifications
- Experience with React, Node.js, or web development
- Exposure to machine learning (scikit-learn, TensorFlow, etc.)
- Familiarity with SQL or databases
- Academic or personal projects in AI, data, or apps
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
