Job Description:

Job description: Airframe AI / ML Engineer - Intern

Team: Structures – Aerostructures Data Management

Background:  

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:  

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:

Employment Type:

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