CAD Applications Internships By Airbus India Pvt Ltd
CAD Applications Internships By Airbus India Pvt Ltd
The CAD Applications Intern role at Airbus India Private Limited offers an exciting opportunity for graduates to work at the intersection of CAD, AI/ML, mathematics, and geometric algorithms within the Engineering and PLM (Product Lifecycle Management) domain. The intern will contribute to the development of innovative CAx and PLM applications, supporting intelligent information management solutions. This role is ideal for candidates with strong programming skills who are eager to apply advanced machine learning and CAD concepts to real-world aerospace engineering challenges.
Documents Required
Applicants submit the following documents: Resume/CV Valid Email ID Mobile No. Study Mark Sheets Certificates (If you have) Cover letter (If applicable)
Eligibility Criteria
Applicants must meet the following criteria: Applicants must be graduates with strong technical proficiency in Python, C++, or C#. Candidates should have a solid understanding of AI/ML concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction. Knowledge of machine learning libraries such as NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, or YOLO is required. Basic understanding of advanced machine learning concepts such as CNNs, RNNs, ResNet, transfer learning, and image segmentation is expected. Strong foundation in C++, data structures, design patterns, mathematics, and geometry is necessary. Basic knowledge of CAD tools (such as CATIA) is required. Additional skills such as CATIA CAA/VBA customization, experience with 3D data processing, neural networks, or geometric processing libraries (PCL, Open3D) are considered an advantage. Note: This internship is exclusively available in India. Specifically, in Bengalore.
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Responsibilities
Interns will: Develop, code, debug, and unit test software solutions related to CAD and PLM applications. Participate in design reviews, code reviews, specification reviews, and unit test plan reviews. Apply mathematical and geometric algorithms to enhance AI-driven CAD applications. Identify, assess, and prioritize risks and opportunities within assigned project areas and implement corrective or preventive actions. Collaborate effectively with globally distributed teams, demonstrating strong communication skills. Adapt quickly to evolving business and digital transformation requirements while following agile principles and methodologies. Ensure timely delivery, quality assurance, and business value generation across all assigned tasks. Contribute innovative, practical, and scalable solutions aligned with Airbus engineering standards.
How To Apply
Follow the below steps to apply for the program: 1. Visit Our Official Website. 2. Read carefully all the information about the program details. 3. Click on the "Register" to complete the registration with required details. 4. After successful registration, Use the received credentials to log into your account. 5. Once logged in, Click on the "Apply" button. 6. You will be directed to the application form. Fill in all the required details accurately. 7. Prepare the necessary documents as specified in the application requirements. 8. Upload these documents in the designated sections of the application form. 9. Before submitting, review all the information you have provided. 10. After that, Click on the "Submit” button to submit your application. Note: "As a free user," →'You're encouraged to share this valuable information with your friends to access the link properly'.
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The CAD Applications Intern role at Airbus India Private Limited offers an exciting opportunity for graduates to work at the intersection of CAD, AI/ML, mathematics, and geometric algorithms within the Engineering and PLM (Product Lifecycle Management) domain. The intern will contribute to the development of innovative CAx and PLM applications, supporting intelligent information management solutions. This role is ideal for candidates with strong programming skills who are eager to apply advanced machine learning and CAD concepts to real-world aerospace engineering challenges.