Magna Hiring 2026 | Intern, Smart Factory Solutions | Bangalore | Apply Now
Application Link
Apply Here:
Magna Hiring – Intern, Smart Factory Solutions Opportunity
Magna is hiring for the position of Intern, Smart Factory Solutions in Bangalore, Karnataka, India. This internship opportunity is suitable for candidates currently pursuing a degree, preferably a Master's degree in Computer Science, Data Science, or a related field.
The role provides an opportunity to work on smart factory technologies involving Python, JavaScript, data engineering, ETL, data analysis, artificial intelligence, machine learning, full-stack development, APIs, dashboards, and data visualization.
About Magna
Magna is a global mobility technology company that develops automotive technologies and solutions. The company works across areas including vehicle systems, advanced manufacturing, electronics, software, and smart factory technologies.
Job Details
Company Name: Magna
Position: Intern, Smart Factory Solutions
Job Type: Full Time
Worker Type: Intern (Fixed Term) (Trainee)
Location: Bangalore, Karnataka, India
Job ID: R00244571
Qualification: Currently pursuing a degree, preferably Master's in Computer Science, Data Science, or a related field
Experience: Internship / Entry-Level; No Specific Experience Required
Salary / Stipend: Not Disclosed
Eligibility Criteria
- Currently pursuing a degree in Computer Science, Data Science, or a related field.
- A Master's degree is preferred.
- Strong programming fundamentals.
- Knowledge of Python and/or JavaScript.
- Understanding of Data Structures and programming concepts.
- Knowledge of data engineering and ETL processes.
- Understanding of data analysis.
- Knowledge or interest in Artificial Intelligence and Machine Learning.
- Understanding of full-stack web development.
- Knowledge of frontend and backend development.
- Understanding of API development and integration.
- Knowledge of dashboards and data visualization.
- Strong debugging and testing skills.
- Strong problem-solving abilities.
Job Description
Magna is looking for an Intern, Smart Factory Solutions to support the development of technology solutions for smart manufacturing and factory environments. The role provides an opportunity to work across software development, data engineering, artificial intelligence, machine learning, and data visualization.
The selected candidate will contribute to applications and solutions involving data collection, processing, analysis, APIs, dashboards, and web development. The intern may work across both frontend and backend technologies to build and enhance smart factory applications.
The role also involves debugging, testing, system enhancement, and collaboration with technical teams to develop practical technology solutions.
Key Responsibilities
- Develop software solutions using Python and/or JavaScript.
- Apply programming fundamentals and Data Structures to development tasks.
- Support data engineering and ETL activities.
- Collect, process, and analyze data.
- Support Artificial Intelligence and Machine Learning projects.
- Develop and maintain full-stack web applications.
- Work on frontend and backend development.
- Develop and integrate APIs.
- Build dashboards and data visualization solutions.
- Work with data-driven applications and smart factory solutions.
- Debug software and resolve technical issues.
- Perform application testing and validation.
- Enhance existing systems and applications.
- Collaborate with technical and cross-functional teams.
- Research and learn new technologies relevant to smart manufacturing.
Key Skills Required
- Python
- JavaScript
- Data Structures
- Programming Fundamentals
- Data Engineering
- ETL
- Data Analysis
- Artificial Intelligence
- Machine Learning
- Full-Stack Web Development
- Frontend Development
- Backend Development
- API Development
- API Integration
- Dashboards
- Data Visualization
- Debugging
- Software Testing
- System Enhancement
- Problem Solving
Preferred Skills
- React
- Node.js
- scikit-learn
- TensorFlow
- SQL
- Database Concepts
- Data Engineering
- Machine Learning Development
- Full-Stack Application Development
- Academic projects in Artificial Intelligence or Machine Learning.
- Personal projects involving data or software applications.
Technologies & Tools
- Programming: Python, JavaScript
- Frontend: React
- Backend: Node.js
- Data Engineering: ETL, Data Processing, Data Analysis
- Artificial Intelligence: Machine Learning, scikit-learn, TensorFlow
- Databases: SQL, Relational Databases
- Web Development: Full-Stack Development, APIs, Frontend, Backend
- Visualization: Dashboards, Data Visualization
Selection Process
- Online Application
- Resume Screening
- Technical Assessment / Screening
- Technical Interview
- Team / Manager Discussion
- HR Discussion
- Final Selection
The selection process may vary depending on Magna's recruitment requirements.
Why Apply?
- Opportunity to gain practical industry experience.
- Work on smart factory and manufacturing technology solutions.
- Develop Python and JavaScript programming skills.
- Gain experience in data engineering and ETL.
- Learn about Artificial Intelligence and Machine Learning.
- Gain practical full-stack web development experience.
- Work with APIs and application integrations.
- Develop dashboard and data visualization skills.
- Gain experience with React and Node.js.
- Build practical experience through real-world technology projects.
- Opportunity to work with a global mobility technology company.
Who Should Apply?
- Computer Science students.
- Data Science students.
- Master's students in Computer Science or Data Science.
- Students from related technical disciplines.
- Candidates interested in Artificial Intelligence and Machine Learning.
- Candidates interested in data engineering and analytics.
- Candidates interested in full-stack development.
- Candidates with Python or JavaScript skills.
- Candidates with academic or personal projects in AI, data, or software applications.
- Candidates interested in smart manufacturing and industrial technology.
- Students looking for an entry-level technology internship.
How to Apply?
Interested and eligible candidates can apply through the official Magna careers portal using the application link provided above.
Candidates should review the official job description and eligibility requirements before submitting their application.
Connect With Hima_Hire
WhatsApp Channel
https://whatsapp.com/channel/0029VbAvE9ZAInPhNyWfxo2x
Telegram Channel
https://instagram.com/hima_hire
https://www.linkedin.com/in/himashalini
YouTube
https://youtube.com/@MajjigaHimashalini2230
Disclaimer
The recruitment details are based on the provided Magna job information. Candidates should verify the latest eligibility criteria, qualification requirements, location, employment details, and application information on the official Magna careers portal before applying.
Keywords
Magna Hiring 2026, Magna Internship 2026, Magna Intern Smart Factory Solutions, Magna Jobs Bangalore, Magna Internship Bangalore, Smart Factory Internship, Smart Manufacturing Jobs, Smart Factory Solutions Jobs, Software Engineering Internship Bangalore, Data Science Internship Bangalore, Computer Science Internship Bangalore, AI Internship Bangalore, Machine Learning Internship Bangalore, Data Engineering Internship, ETL Internship, Python Internship Bangalore, JavaScript Internship Bangalore, Full Stack Internship Bangalore, React Internship Bangalore, Node.js Internship Bangalore, SQL Internship Bangalore, Data Analytics Internship, Data Visualization Internship, Dashboard Development Internship, API Development Internship, AI ML Internship, TensorFlow Internship, scikit-learn Internship, Automotive Technology Internship, Manufacturing Technology Internship, Hima_Hire Jobs
SEO Title
Magna Hiring 2026 | Intern, Smart Factory Solutions | Bangalore | Apply Now
Meta Description
Magna Hiring 2026 for Intern, Smart Factory Solutions in Bangalore. Students pursuing Computer Science or Data Science can apply. Skills in Python, JavaScript, AI, ML, data engineering, full-stack development, and APIs are preferred.
No comments:
Post a Comment