Airbus Hiring Freshers for Machine Learning Intern Role | Airbus Off Campus Drive 2025 – Apply Now

Airbus Hiring Freshers for Machine Learning Intern Role

About Company :

At Airbus, we are dedicated to push the boundaries of innovation by leveraging cutting-edge technologies and data to deliver state-of-the-art solutions. We are looking for passionate and talented Machine Learning Engineer Interns to join our dynamic team. This internship will provide you with hands-on experience in developing, training, and deploying machine learning models in real-world scenarios.

Official Company Website : www.airbus.com

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Airbus Hiring Freshers for Machine Learning Position:

Job Description :

Job Title: Machine Learning Engineer Intern

Responsibilities:

• Assist in building and improving machine learning models for various applications.
• Work with datasets, cleaning, preprocessing, and transforming data to train models.
• Implement SOTA deep learning algorithms to solve various Computer vision problems.
• Collaborate with senior engineers and data scientists to optimize model performance and deploy the model as an endpoint or batch job.
• Conduct experiments and analyze the performance of models using open source datasets and benchmark on Airbus specific data.
• Create data visualizations and reports to communicate insights and results effectively.
• Contribute to the development of machine learning pipelines with MLOps capabilities (experiment tracking, model/data versioning etc).

Qualifications:

• Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields.

Required Skills:

• Understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised learning, deep learning).
• Proficiency in Python programming language.
• Familiarity with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, scikit-learn, etc.
• Knowledge on Computer Vision concepts
• Experienced with Miniforge, VSCode, Git, etc on Windows and Linux.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is preferable.
• Knowledge of version control tools like Git.
• Familiarity with SQL and working with databases.
• Exposure to basics of devops (e.g., using Docker, Kubernetes) is a plus.
• Strong communication skills and collaboration with team members.

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What We Offer:

• Real-world experience working on machine learning projects.
• Mentorship and learning opportunities from experienced engineers and data scientists.
• Access to cutting-edge tools and technologies in machine learning.
• Collaborative and supportive work environment.
• Opportunity to grow your career in the tech industry.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.