Flight Data Analysis - AI Report Generation Intern

Job Description:

Build an AI text generation application for flight data analysis (FDA) using our historical time series data of flights and text reports such as safety notifications and occurrence reports. The application will perform factual analysis and generate safety notifications and occurrence reports using new flight data. 

The automation will help FDA analysts quickly identify patterns and anomalies, leading to improved efficiency and deeper understanding of flight operations. In future, this could be added to our existing flight data monitoring software providing airline customers with enhanced capabilities.

Key Responsibilities and Project Phases

 

As an intern, you'll be actively involved in:

• Data Acquisition and Preparation: Gathering and pre processing historical time-series flight data and text reports, ensuring precise linking between text information and specific time periods/events within the time-series data.

• Foundational Model Selection: Researching and selecting suitable Large Language Models (LLMs) or multimodal models capable of processing sequential data.

• Fine-tuning the Foundational Model: Training the chosen model using the aligned time-series data and text reports to generate accurate and descriptive reports.

• Building the Generative AI Application: Contributing to the development of an API and potentially a user interface for inputting new time-series data and displaying generated reports.

• Deployment and Monitoring: Assisting with the initial deployment of the application and setting up basic performance monitoring.

End Goal and Benefits:

The aim of this internship is to provide analysts with an automated tool that generates insightful reports from new time-series flight data. This will enable:

• Reduced time spent on analysis and report generation. 

• Faster anomaly detection.

• Enhanced reporting efficiency.

• More consistent analysis.

• Deeper insights.

Skill Set Required:

• Proficiency in Python.

• Strong understanding of Machine Learning/Deep Learning concepts.

• Familiarity with Natural Language Processing (NLP) principles and techniques.

• Basic understanding of time-series data analysis.

• Strong analytical and problem-solving skills.

• Excellent verbal and written communication abilities.

• Ability to work effectively in a collaborative team environment.

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

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Experience Level:

Student

Job Family:

Testing

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