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IIDEQ_sap INTERN

Airbus

Bangalore, IndiaInternshipIntern
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Location
Bangalore, India
Employment
Internship
Work model
On-Site
Level
Intern
Posted

Skills

ABAPAgileComputer VisionJavaLLMMachine LearningNLPPythonSAPSQL

About this role

Job Description

The Mission Airbus has started its Digital journey. The objective is to transform the company and to prepare it for the future. This transformation includes new global governance, new ways of working and the implementation of digital business services, robust ERP platform capabilities, and cutting-edge artificial intelligence integration managed by Airbus. Are you passionate about IT, foundational enterprise software, algorithms, and artificial intelligence? The Airbus’ Information Management (IM) Function is looking for an enthusiastic SAP & AI Intern to join its teams. If you enjoy challenges and working with highly motivated people in a dynamic, fast-paced and agile environment, come and join us to deliver innovations that accelerate the next generation of digital products.

The Role

Airbus’ Information Management (IM) Function is seeking an SAP & AI Intern. In this role, you will bridge the gap between complex business processes, foundational enterprise technical architecture, data structures, and modern AI algorithms. You will work alongside experienced functional, technical, and AI specialists to gain hands-on experience in SAP module workflows, Data Structures & Algorithms (DSA), and AI-driven enterprise automation. Working within a dynamic, fast-paced, and international agile environment, you will balance real-time operational troubleshooting with active participation in current, high-value development pipelines. Ideally, this is a 6 months internship and it should start in January 2027 What You Bring Education: B.Tech / B.E. degree in Computer Science, Information Technology, AI/Data Science, or a related engineering branch (recent graduate or final-year student eligible for full-time internship). Algorithmic Mastery & DSA: Strong foundational understanding of core Data Structures (arrays, trees, graphs, hash tables) and Algorithm Design (sorting, searching, time/space complexity analysis, and dynamic programming). ERP Foundations: Clear understanding of Enterprise Resource Planning (ERP) concepts, enterprise architecture, and integrated business processes. AI Knowledge & Project Experience: Direct hands-on experience developing or contributing to at least one Artificial Intelligence / Machine Learning project (e.g., NLP, Predictive Analytics, Computer Vision, or LLM applications). Technical Aptitude: Proficiency in programming languages commonly used in computer science and modern AI workflows (e.g., Python, C++, or Java) along with relational database management systems (SQL/RDBMS). Agile Mindset & Customer Focus: Comfort working in distributed, cross-functional teams using Agile/Scrum methodologies, with strong problem-solving skills and effective communication. Qualifications & Experience As an SAP & AI Intern, the candidate should have a solid foundation in software engineering principles, computer science core subjects, and enterprise software concepts. Your area of responsibility will extend to assisting in system support, analyzing technical requirements, and exploring how AI can optimize enterprise workflows. The candidate will join the Product and Service Line structure providing digital solutions to manage enterprise and business processes throughout Airbus organizations. As such, he/she needs to have a strong customer focus, an analytical mindset, clear communication skills, and an eagerness to learn complex systems. CS & DSA Fundamentals: Strong computer science fundamentals with emphasis on Data Structures and Algorithm Design. ERP Concepts: Fundamental conceptual knowledge of ERP systems and how integrated business modules function. AI/ML Project Portfolio: Hands-on exposure to an AI/ML project through academic coursework, capstone projects, or personal portfolios. Database Systems: Exposure to relational database management systems (RDBMS) and query optimization basics. SAP Exposure: Basic familiarity or strong interest in learning SAP architectures (e.g., S/4HANA, ABAP,

Listing verified . Applications go through the company's official careers site.

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