Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services.

Airbus seeking a highly motivated and talented Data Engineer with a passion for software development and a desire to grow their skills.

Job Designation : Data Engineer Intern

Qualification :  Bachelor Degree

Experience : Freshers

Skill Set :

1. Basic understanding of Generative AI concepts and models (e.g., Large Language Models (LLMs), diffusion models).
2. Familiarity with any deep learning frameworks (e.g., TensorFlow, PyTorch).
3. Experience with version control systems (e.g., Git).
4. Exposure to cloud computing platforms (e.g., AWS, GCP).
5. Experience with relevant Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib/Seaborn is a plus.
6. Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
7. Excellent communication (both written and verbal) and interpersonal skills.
8. Ability to learn quickly and adapt to new technologies and methodologies.
9. A proactive attitude and a strong desire to learn and contribute to real-world projects.

Job Description :

1. Data Exploration and Preprocessing: Assist in collecting, cleaning, and preparing data for machine learning tasks. This includes handling missing values, identifying outliers, and performing feature engineering.
2. Machine Learning Model Development: Learn and apply various machine learning algorithms (e.g., regression, classification, clustering) to solve specific business problems under the guidance of senior team members.
3. Model Evaluation and Validation: Participate in evaluating model performance using appropriate metrics and validation techniques to ensure robustness and generalization.
4. Experimentation and Iteration: Assist in designing and executing experiments to test different models and hyperparameter configurations.
5. Documentation and Communication: Document code, methodologies, and results clearly and concisely. Participate in team meetings and present findings as required.
6. Learning and Skill Development: Actively learn new machine learning techniques, tools, and best practices through training materials, mentorship, and independent research.
7. Exposure to Generative AI (Good to Know): Participate in discussions and potentially assist with exploratory projects related to Generative AI, such as understanding basic concepts, exploring pre-trained models, or assisting with data preparation for GenAI tasks (if applicable).

Location : Bengaluru, Karnataka, India