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Airbus Internship 2025 | Hiring Interns for Java, React JS, Python, AI/ML

๐ŸŒŸ Ready to launch your tech career with a global aerospace leader? Airbus is offering a fantastic Internship opportunity in 2025 for engineering students in their 3rd or 4th year! This is the perfect chance for freshers passionate about Java, React JS, Python, scripting, and AI/ML to gain hands-on experience in a real-world setting. Work on cutting-edge automation projects and contribute to meaningful solutions that enhance service efficiency. Whether you're interested in software stacks or smart automation, Airbus Internship 2025 will boost your career with world-class exposure.



๐Ÿ“‹ Job Details

๐Ÿ”น Job Role: Intern [Basic Java, React JS, Python, Scripting, AI/ML]
๐Ÿ”น Qualification: BE/B.Tech or ME/M.Tech (Mechanical, Computer Science, IT)
๐Ÿ”น Eligible Batches: 3rd/4th Year Engineering Students
๐Ÿ”น Experience: Freshers
๐Ÿ”น Salary (Stipend): ₹31,000 Per Month (Expected)
๐Ÿ”น Duration: 3 Months
๐Ÿ”น Location: Bangalore
๐Ÿ”น Last Date: Apply ASAP

✅ Eligibility Criteria

๐ŸŽ“ Currently pursuing BE/B.Tech or ME/M.Tech in Mechanical, Computer Science, or Information Technology
๐Ÿ’ป Familiar with Python, Java, React JS, scripting languages
๐Ÿ“Š Understanding of Excel, spreadsheets, or Looker Studio
๐Ÿง  Basic knowledge of AI/ML, ITSM, or ITIL
๐Ÿ“š Knowledge of tools like ServiceNow or Skywise is a plus
✍️ Good communication and documentation skills
๐Ÿงฉ Critical thinking and analytical mindset

๐Ÿงพ Job Description

๐Ÿ“Œ Work on automation projects analyzing high-volume incident data
๐Ÿ“Œ Conduct pattern identification & root cause analysis
๐Ÿ“Œ Suggest automation using chatbots, scripts, or self-healing techniques
๐Ÿ“Œ Deliver structured reports with automation roadmaps
๐Ÿ“Œ Develop and test scalable software stacks
๐Ÿ“Œ Write and edit source code, integrate systems
๐Ÿ“Œ Participate in complete product development lifecycle
๐Ÿ“Œ Define testing strategy, monitor and document execution

๐ŸŒŸ Why Join Airbus?

✈️ Work with one of the world’s leading aerospace companies
๐ŸŒ Exposure to real-world AI/ML and automation technologies
๐Ÿ› ️ Hands-on experience with tools like Python, Java, React JS, ServiceNow
๐Ÿ‘ฉ‍๐Ÿ’ป Learn from top professionals in a diverse and collaborative environment
๐Ÿ“ˆ Great learning opportunity with monthly stipend and certification

๐Ÿข About Airbus

Airbus is a global leader in aerospace, known for its innovation and technology excellence. With operations across the globe, Airbus delivers world-class aircraft and solutions. This internship opportunity gives freshers a chance to gain exposure to cutting-edge technologies like AI/ML, Java, and React JS, setting a solid foundation for future tech careers.

๐Ÿง  Additional Information

๐Ÿ“Ž Working Environment: Windows & Linux/Unix OS
๐Ÿงฐ Tools Exposure: Google Workspace, ServiceNow, Looker Studio
๐Ÿ” Core Areas: Data collection, analysis, automation strategy, root cause study
๐Ÿ“ˆ Objective: Reduce manual workload, improve SLAs & operational efficiency
๐Ÿ’ก Outcome: Build analytical skills, technical experience, and business insights

๐Ÿ“ฅ How to Apply?

๐ŸŽฏ Interested and eligible candidates can apply for Airbus Internship 2025 via the links below:

๐Ÿ‘‰ Intern [Basic Java & React JS]: Click Here

๐Ÿ‘‰ Intern [Python, Basic scripting, AI/ML]: Click Here

๐Ÿ’ฌ Top 5 Interview Questions & Answers

1. What is the difference between AI and Machine Learning?
๐Ÿ‘‰ AI is a broader concept where machines simulate human intelligence. Machine Learning is a subset that allows systems to learn from data.

2. What is a use case for React JS in front-end development?
๐Ÿ‘‰ React JS is useful for building interactive UIs, especially when you want dynamic rendering based on real-time data.

3. How does scripting help in automation?
๐Ÿ‘‰ Scripting automates repetitive tasks, reduces manual errors, and saves time using minimal code.

4. Explain a basic Python script you’ve written.
๐Ÿ‘‰ A simple example is a script that cleans CSV data, removes duplicates, and calculates average sales using Pandas.

5. What tools can be used for analyzing large incident datasets?
๐Ÿ‘‰ Excel, Python (Pandas/NumPy), SQL, and visualization tools like Tableau or Looker Studio are commonly used.

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