Data Science - Structures

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Team: Structures - Aircraft Components Design Team

Background:

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

Role:

The Intern will act as a Data Scientist focusing on Structures related applications with the task to provide safe and balanced data driven design solutions. She/He will play a key role in developing an AI based platform to help in aiding designing parts/ systems with the help of available AI privileges. 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

? 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

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 Companys success, reputation and sustainable growth.

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