About Airbus:

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. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world’s leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

Airbus Recruitment Responsibilities:

  • Assist in collecting, cleaning, and organizing large datasets from various sources.
  • Conduct exploratory data analysis to identify patterns, trends, and insights.
  • Contributing to the training, fine-tuning, and evaluation of machine learning and computer vision models
  • Support the development and implementation of data models and algorithms.
  • Collaborate with team members to visualize data and present findings effectively.
  • Aid in the creation of reports and presentations based on analytical findings.
  • Contribute to the optimization of data processes and workflows.
  • Documenting your work, including code, experiments and findings.
  • Stay updated with industry trends and emerging technologies in data analytics.

Airbus Off Campus Eligibility Criteria:

  • Students 3rd or 4th year engineering, 3rd year bachelors, masters in computer science or related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Tableau).
  • GitHub profile of projects developed
  • Participation in AI based challenges such as Kaggel with good ranking preferred
  • Experience or projects with computer vision and 3-D vision will be an added advantage
  • Working knowledge of full stack programming is an advantage.

Preferred skill:

  • Team player and quick learner
  • Good Communication- Verbal and Non Verbal skills
  • Multi-Tasking
  • Good Team Player

APPLY HERE!!