Apply for Machine Learning Intern at Airbus Bangalore – Computer vision, deep learning, real-world projects & top mentorship in 2025.
Table of Contents
Apply for Machine Learning Intern at Airbus Bangalore
Job Role & Category:
- Role: Machine Learning Engineer Intern
- Category: Full-Time Internship, Onsite
🏢 Why Join Airbus?
Airbus is a global leader in aerospace, pioneering sustainable aviation and space exploration for over 50 years. As Europe’s largest aeronautics and space company and the world’s leading aircraft manufacturer, Airbus designs, manufactures, and delivers innovative solutions to customers worldwide. With over 130,000 employees across 180 locations globally, the company is at the forefront of digital transformation in aerospace, leveraging AI, machine learning, and data analytics to revolutionize aircraft design, manufacturing, and operations.
Airbus India, established in 2007, has become a strategic hub for engineering, IT, and innovation, contributing to global programs while fostering local talent development. The company’s commitment to diversity, sustainability, and technological excellence has earned it recognition as one of the most innovative companies globally. Airbus offers a unique opportunity to work on cutting-edge technologies that directly impact the future of aviation, from autonomous flight systems to predictive maintenance solutions powered by AI.
📝 Job Summary
Join Airbus as a Machine Learning Engineer Intern where you’ll be dedicated to pushing the boundaries of innovation by leveraging cutting-edge technologies and data to deliver state-of-the-art solutions. This internship provides hands-on experience in developing, training, and deploying machine learning models in real-world aerospace scenarios, working alongside experienced engineers and data scientists in a dynamic team environment.
🔧 Key Responsibilities
- 🤖 Assist in building and improving machine learning models for various applications
- 📊 Work with datasets, including cleaning, preprocessing, and transforming data to train models
- 🧠 Implement SOTA (State-of-the-Art) deep learning algorithms to solve various Computer Vision problems
- 🤝 Collaborate with senior engineers and data scientists to optimize model performance
- 🚀 Deploy models as endpoints or batch jobs for production use
- 🔬 Conduct experiments and analyze model performance using open-source datasets
- 📈 Benchmark models on Airbus-specific data for real-world applications
- 📊 Create data visualizations and reports to communicate insights and results effectively
- ⚙️ Contribute to developing machine learning pipelines with MLOps capabilities
- 🔄 Implement experiment tracking and model/data versioning systems
✅ Who Can Apply?
- 🎓 Education: Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields
- 💼 Experience Level: Student level (Internship position)
- 💡 Required Skills:
- Understanding of machine learning algorithms and techniques (supervised, unsupervised learning, deep learning)
- Proficiency in Python programming language
- Familiarity with ML libraries: TensorFlow, Keras, PyTorch, scikit-learn
- Knowledge of Computer Vision concepts
- Experience with Miniforge, VSCode, Git on Windows and Linux
- Familiarity with SQL and database operations
- Knowledge of version control tools like Git
- Strong communication and collaboration skills
- ➕ Preferred Skills:
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
- Exposure to DevOps basics (Docker, Kubernetes)
- 📜 Certifications: Not specified in job description
🌍 Work Location & Type
- Location: Bangalore Area
- Work Type: Onsite (Office-based)
- Employment Type: Full-Time Internship
- Flexibility Note: Airbus fosters flexible working arrangements to stimulate innovative thinking wherever possible
💰 Salary Insights
Based on industry standards for Machine Learning Interns at top aerospace companies like Airbus:
- Monthly Stipend: ₹35,000 – ₹50,000
- Annual Equivalent: ₹4.2 – ₹6 LPA
- Performance-based incentives may apply
- Potential for Pre-Placement Offer (PPO) with competitive packages
- Stipend varies based on academic background and skill level
🎁 Perks & Benefits
- 🎓 Real-world experience on cutting-edge aerospace ML projects
- 👨🏫 Direct mentorship from experienced engineers and data scientists
- 💻 Access to state-of-the-art tools and technologies
- 🚀 Exposure to global aerospace projects and innovations
- 📚 Learning and development opportunities through Airbus University
- 🤝 Collaborative and inclusive work environment
- 🏢 World-class office infrastructure and facilities
- 🎯 Career growth opportunities within Airbus ecosystem
📝 How to Apply
📢 How to Apply for Airbus ML Internship 2025:
- ✅ Click on the “Apply” button below
- ✅ Register/Login to the Airbus careers portal
- ✅ Complete your profile with accurate information
- ✅ Upload your updated CV/resume
- ✅ Fill in all required application details
- ✅ Submit relevant project portfolios if available
- ✅ Review your application thoroughly
- ✅ Submit the application form
- ✅ Note Job Requisition ID: JR10367255
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⚠️ Important: Airbus will never ask for monetary exchange during recruitment. Report any impersonation to emsom@airbus.com
❓ Frequently Asked Questions (FAQs)
Q1: What is the duration of this internship?
A: Typical internships at Airbus range from 6 months to 1 year. Specific duration will be communicated during the selection process.
Q2: Is there a possibility of full-time conversion after the internship?
A: High-performing interns often receive Pre-Placement Offers (PPO) for full-time roles at Airbus.
Q3: Do I need prior industry experience for this internship?
A: No prior industry experience is required. This is a student-level position for those currently pursuing their degree.
Q4: Will I work on real Airbus projects?
A: Yes, you’ll work on real-world machine learning projects that contribute to Airbus’s aerospace innovations.
Q5: What kind of projects will I work on?
A: Projects involve computer vision, deep learning applications in aerospace, predictive maintenance, and other cutting-edge ML solutions for aviation.