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Airbus Internship 2025: AI Intern Position Open in Bangalore

Airbus Internship 2025: Airbus has just launched its 2025 Hiring Programme and is looking for tech-loving interns at its Bangalore office. The exciting part? You don’t have to study a specific subject; as long as you enjoy playing with code, asking questions, and bouncing ideas around, you’re in the game. The person who secures the position will sit with aerospace experts and witness first-hand how the company employs new AI tools to continually drive innovation. That experience translates into real projects, industry contacts, and a solid launch pad for anyone wishing to combine machine-learning skills with aviation.

Overview of Airbus Internship 2025

Company : Airbus
Role : Internship AI
Qualification : Any Graduate
Experience Required : Freshers
Location: Bangalore

About Airbus Company :

Airbus now occupies a rare vantage point in global aviation, widely acknowledged for its leading-range airliners, dedicated freighters, advanced military platforms and comprehensive space solutions. Headquartered in Europe, the firm delivers civil aircraft, helicopters, defence systems and satellites to almost every region of the planet. Day in and day out its engineers, assembly workers and designers pursue cleaner flight, smarter cockpits and an all-embracing digital factory that transforms the way aeroplanes are conceived, built and flown. To drive these ambitions Airbus harnesses diverse talent worldwide and commits substantial resources to artificial intelligence, steadily clarifying the pathway toward a sustainable, connected airborne future.

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Responsibilities For Airbus Internship 2025

Build and refine generative-AI workflows in Python with the LangChain library, streamlining prompt engineering, agent orchestration, and time-sensitive task automation.
Plan and execute the stepwise phase-out of Microsoft-heavy stacks, conducting risk reviews, migrating data, securing archival copies, and safely retiring systems while staying within security and compliance guardrails.
Steer the .NET-Sunset programme by inventorying legacy services, charting rehost, rewrite, or retire options, aligning QA schedules with product owners, and certifying new Azure deployments.
Design, test, and improve prompt templates that elevate large-language-model output across use cases, using controlled A/B trials and quantitative metrics to gauge success.
Embed LangChain agents and supporting tools into live production flows, automating customer support, data extraction, and real-time reporting, shrinking resolution times and lightening human load.
Craft retrieval-augmented generation architectures that pair vector stores—Pinecone, Weaviate, or FAISS—with large-language models, sharpening answer accuracy and keeping relevant context front and centre.
Partner with solution architects to convert broad requirements into modular, testable code, applying proven design patterns that ease future versioning and hand-off between teams.
Team with AI/ML engineers to build interactive Streamlit or Gradio dashboards, giving business users a drag-and-drop playground to explore models without deep technical skills.
Deploy Linux containers and serverless microservices within the Google Cloud Platform ecosystem, observe service latency and request distribution through Cloud Trace, and initiate scheduled load tests to confirm sustained availability and scalable throughput.
Curate and update detailed technical documentation in Confluence, present findings from post-mortem analyses during sprint retrospectives, and actively propose architectural refinements in design workshops, reinforcing a culture of incremental improvement and knowledge sharing.

Skill for Airbus Internship 2025

Proficient in Python; reads and writes idiomatic, well-structured code.
Understands basic machine learning concepts, from model training to evaluation.
Regularly cleans, transforms, and analyses data to extract meaningful insights.
Uses NumPy, Pandas, and Scikit-learn for daily tasks; experimented with TensorFlow and PyTorch.
Applies logical reasoning to troubleshoot errors and optimise algorithms.
Comfortable loading, filtering, and summarising large CSV files and databases.
Grounded in elementary statistics and GCSE mathematics; interprets results reliably.
Familiar with common models—classifiers, regressors, clustering—with strengths and weaknesses.
Shares progress and challenges openly in group projects, tailoring updates for varied audiences.
Inquisitive by nature; actively seeks tutorials, documentation, and community feedback.

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Apply Now for the Internship AI Role at Airbus Internship 2025

Why Should You Apply for the AI Internship at Airbus in 2025?

Throwing your hat in for the 2025 AI Internship at Airbus could be a game-changer for any early-career tech enthusiast. The programme places you shoulder to shoulder with real engineers who trust interns to tackle pieces of live AI projects that shape tomorrow’s airplane dashboards and maintenance systems. Inside an open, forward-looking office, you learn hands-on, pick up tips from seasoned mentors, and polish the coding and data skills that turn coursework into tangible know-how. Because every line of code you write can boost safety or cut fuel burn, this role feels less like a checklist and more like a passport to purpose-driven work in a truly global industry.

FAQs: Airbus Internship 2025

Q1: Who can apply for the AI Internship at Airbus?

A: Any graduate from a recognized university with an interest in Artificial Intelligence can apply. Students from engineering, computer science, or related fields are preferred.

Q2: Is prior experience required to apply for this internship?

A: No prior work experience is required. Freshers and recent graduates are encouraged to apply.

Q3: Where is the internship location?

A: The internship will take place in Bangalore, India.