Job Description:
We are seeking a highly motivated Intern to support the development and deployment of an Integrated Knowledge and Reporting Platform. This role focuses on bridging the gap between manual engineering analysis and automated, AI-driven solutions. You will work at the intersection of data science, natural language processing, and real-time data integration to enhance operational efficiency and decision-making quality.
Key Responsibilities
- Knowledge Engineering: Load, structure, and integrate historical document databases and discussion records into a centralized AI environment.
- AI Development: Assist in building and tuning a conversational chatbot interface capable of "real-time analysis" and automated drafting.
- Data Integration: Connect and ingest live, time-based data streams for automated trend and root-cause analysis.
- Performance Optimization: Implement and test Retrieval-Augmented Generation (RAG) techniques to ensure high-quality outputs and minimize system errors.
- Risk & Security: Support the deployment of solutions within secure, compliant environments, focusing on data privacy and local hosting requirements.
Ideally, this is a 6-month program and it should start in July 2026 (date subject to flexibility).
Required Skills & Qualifications
Technical Skills
- Data Science & AI: Proficiency in Python and Large Language Models (LLMs). Familiarity with Retrieval-Augmented Generation (RAG) is highly desirable for failure justification tasks.
- Time-Series Analysis: Ability to process and interpret time-based engineering data to identify trends and root causes (e.g., distinguishing between turbulence and model reaction time).
- Cloud & DevOps: Familiarity with Google Cloud Platform (GCP) or local GPU on-premise environments for model deployment.
- Data Engineering: Skills in structuring unstructured data from historical documents into a searchable, machine-readable format.
Domain & Soft Skills
- Aerospace Awareness: Basic understanding of control laws to assist the development team in "domain support".
- Analytical Rigor: Ability to perform root cause analysis and validate AI-generated content against engineering standards.
- Communication: Capability to work within a multidisciplinary team (Data Scientists and Control Law Engineers) to translate technical failures into sophisticated draft paragraphs.
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.
Company:
Airbus India Private Limited
Employment Type:
Internship
-------
Experience Level:
Student
Job Family:
Digital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.