Intern

Internship AI for In-Service Engineering

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About the Role

An internship opportunity in the In-Service Engineering department. You will contribute to the advancement of Language Model capabilities. This is a 6-month internship.

Key Responsibilities

• Research and implement 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 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.

Requirements & Tech Stack

• 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.