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.

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Airframe AI ML Engineer Intern