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Internship - AI for In-Service Engineering

Airbus
NewPosted yesterday

LOCATION

Bangalore Area · Onsite

EXPERIENCE

Not specified

TYPE

Internship

SKILLS REQUIRED

PythonMachine LearningNatural Language ProcessingData PipelinesRetrieval-Augmented Generation

Job description

Overview

A 6-month internship in the In-Service Engineering department at Airbus India, focused on researching and implementing Retrieval-Augmented Generation (RAG) and other advanced techniques to enhance Language Model capabilities.

What you'll do

  • Engage in research and implementation of Retrieval-Augmented Generation (RAG) and other advanced techniques to enhance Language Model capabilities.
  • Participate in data preparation for fine-tuning processes.
  • Assist in setting up and optimizing the pipeline for fine-tuning and quantization.
  • Participate in the training of small transformer models, ensuring performance and efficiency.
  • Contribute to the development of an internal orchestration framework for LLM.
  • Collaborate with senior engineers to integrate LLM software components into the existing system architecture.
  • Support the deployment and monitoring of models in production environments.
  • Document processes, workflows, and findings to ensure knowledge sharing and reproducibility.

What you'll need

  • Strong Python skills.
  • Experience with data wrangling and preprocessing.
  • Familiarity with LangChain, LlamaIndex, and VectorDB.
  • Good understanding of transformer architecture, embeddings, and tokenizers.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Understanding of LLMs, fine-tuning techniques, and RAG methodologies.
  • Proficiency in version control systems (e.g., Git) and software development best practices.

Details

  • Location: Bengaluru, India.
  • Employment type: Internship, ideally 6 months.
  • Start date: January 2027 (subject to flexibility).
  • Open to students.

Read the full description and apply on the company’s own careers page.

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Internship - AI for In-Service Engineering