Job Description

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Job description: Airframe AI / ML Engineer - Intern

Team: Structures - Aerostructures Data Management

Background

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Enable advanced digital capabilities in the perimeter of Airframe related Design, Modeling, Simulation, Testing and Inspection along the lifecycle of Aircraft development using Data Analytics / Artificial Intelligence / Machine Learning.

Role

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The Intern will act as a Data Scientist focusing on Airframe related applications with the task to provide safe and balanced data driven design solutions. She/He will play a key role in developing machine learning and deep learning (classification, regression, time-series and natural language processing including Generative AI) models and/or analytics dashboards & stand-alone web applications to analyze aircraft structure's operational reliability and build predictive and prescriptive models that assist in modeling, simulation, automation & inflight decision-making. She/He needs to engage in tasks related to data engineering, knowledge graph creation, chatbot building, tuning and monitoring.

Technical Skills

Key Skills

? Machine Learning (ML), Deep Learning (DL) code development and deployment

?

Dashboarding in environments

like Palantir (Skywise), Dash, Streamlit, Spotfire etc.

? Experience in Supervised Learning (Classification/Regression, Natural Language Processing, Time series Analysis, Computer Vision), Unsupervised Learning & Reinforcement Learning

? Basic Knowledge of Generative Artificial Intelligence and state-of-the-art modeling techniques

? Experience in Large Language Model (LLM) development, deployment and monitoring

? Data driven decision science

Good to have (not mandatory)

? Basic understanding of System Engineering and Aerospace/ Aviation

? Basic knowledge on model distillation of LLMs

? Basic Knowledge on finetuning & performance optimization of LLMs

? Exposure to Software testing; Verification, Validation & Uncertainty Quantification of ML

Preferred Language:

Python

Data Science Frameworks:

Scikit-Learn, Keras, Tensorflow, Pytorch, Langchain etc.

Environments:

Jupyter Notebook / Anaconda, Visual Studio etc.

Soft Skills:

Teamwork and excellent communication skills

Willingness to learn new skills, self-development and Problem-solving orientation

Fail-fast mindset and Solutions approach

Qualification

: Pursuing (final year) or completed Masters or Bachelors degree in Aerospace, Mechanical, Thermal or Data Science related streams.

Job Location

: Bangalore


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:

Structure Design & Integration
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