Generative AI Research Intern

Airbus Group India Pvt Ltd

Bengaluru

On-site

INR 279,000 - 446,000

Full time

5 days ago
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Job summary

Airbus India Private Limited is seeking a GenAI Intern for its India Innovation Team in Bengaluru. This 6-month internship offers hands-on experience with cutting-edge language models and real-world ML pipelines.

You will work under senior engineers to implement RAG, fine-tuning data pipelines, and model deployment, while documenting findings for reproducibility.

Strong Python, ML basics, and curiosity about LLMs are essential; we value diversity and inclusive teamwork.

Qualifications

  • Strong Python skills and data preprocessing experience.
  • Familiarity with LangChain, LlamaIndex, and VectorDB.
  • Good understanding of transformer architecture, embeddings, and tokenizers.
  • Experience with ML 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.

Responsibilities

  • Engage in research and implementation of 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, 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 SW 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.

Skills

Python
Data wrangling
LangChain
LlamaIndex
VectorDB
Transformer architectures
TensorFlow/PyTorch
LLMs/fine-tuning/RAG
Git

Education

Bachelor's or Master's in CS/AI (in progress)

Tools

LangChain
LlamaIndex
VectorDB
Git
TensorFlow
PyTorch

Job description

Internship - India Innovation Team - GenAI Intern Job Description: Duration: 6 months

Company: Airbus India Private Limited Employment Type: Internship

Experience Level: Student Job Family: Digital

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.

Key Responsibilities
  • 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, 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 SW 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.
Qualifications
  • 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.
Company Culture & Diversity

Airbus is committed to achieving workforce diversity and creating an inclusive working environment.

We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all.

As such, we will never ask for any type of monetary exchange in the frame of a recruitment process.

At Airbus, we support you to work, connect and collaborate more easily and flexibly.

Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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