Airbus Off Campus Fresher Hiring 2025 | Internship AI
Airbus has invited applications for the recruitment of Intern AI post. It is an entry level position and freshers can apply.
Interested candidates meeting the eligibility criteria can apply online at the earliest.
Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Airbus Off Campus Fresher Hiring 2025 Details:
Experience: Freshers
Post Name: Intern AI
Qualification: BE/BTech or ME/MTech
Batch: Recent Batches
Salary: Rs. 30k – 40k per month (expected)
Last Date to apply: As soon as possible
Job Locations: Bangalore
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JOB DESCRIPTION
TITLE: Using Artificial Intelligence for building Digital Solutions and Enablers in transversal and transformations projects
Job scope (core activities):
You will be involved in understanding the AI application in the digital solutions and enablers that we are building for usage by global Airbus teams. You will be expected to develop and use existing models that can fast track and enable us in optimizing our transformation and migration activities like Oracle to Postgres, .NET migration activities, MS decommissioning and movement to google suite to mention a few.
Nokia Off Campus Fresher Hiring 2025 | SW QA Engr 1 | 0-2 years exp.
Responsibilities
- Build and optimize Generative AI workflows using Python and LangChain.
- Lead and execute Microsoft platform decommissioning activities, including assessment, planning, migration, and retirement of legacy systems, while ensuring minimal disruption to business operations and adherence to compliance and security standards.
- Drive and support the .NET Sunset Program by assessing legacy applications, planning and executing migration or decommissioning strategies, coordinating with cross-functional teams, and ensuring seamless transition to modern, scalable technologies.
- Develop and refine prompt templates for effective interaction with LLMs.
- Integrate tools and agents within the LangChain ecosystem to handle real-world tasks.
- Implement RAG pipelines using vector databases to enhance response quality.
- Work closely with architects to understand requirements and translate them into functional implementations.
- Collaborate with the AI/ML team to build interactive frontends using Streamlit or Gradio.
- Assist in deploying and testing models and services on GCP cloud infrastructure.
- Document work, share learnings, and actively participate in brainstorming sessions.
- Any new activities which has a need to use AI to complete it in an optimal way
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Required Technical Expertise:
- Python
- Machine Learning Frameworks like Tensorflow/PyTorch
- Network Graph Visualization techniques
- Compressible Flow Aerodynamics
Must Have
- Strong knowledge and hands-on experience with Python programming.
- Experience working with Generative AI workflows using LangChain.
- Familiarity with LangChain Prompt Templates and LangChain Agent tools.
- Understanding of Retrieval-Augmented Generation (RAG) techniques.
- Experience working with Vector Databases (e.g., FAISS, Chroma, Pinecone, etc.).
- Proficiency in using Jupyter Notebooks for experimentation and prototyping.
- Experience working on real-time projects with a proper project structure using IDEs like VS Code or PyCharm.
- Strong critical thinking and problem-solving skills.
- Good communication and collaboration abilities.
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Nice to Have
- Hands-on experience with Streamlit or Gradio for building AI frontends.
- Basic understanding of Google Cloud Platform (GCP) services.
- Exposure to APIs and tool integrations in AI applications.
- Previous project or coursework in LLM-based or NLP-driven applications.
Area:
AI / ML Engineering for building Digital Solutions and Enablers
Education:
- Engg. background with exposure to Machine Learning & Deep Learning, Artificial Intelligence
Soft skills:
- Ability to work independently & in a transnational team.
- Good communication and interpersonal skills.
- Flexibility & Adaptability
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How to Apply?
- Interested candidates meeting the eligibility criteria have to apply at the following link:
Apply Online
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