Junior LLM Developer (Large Language Model Development for Blockchain)

As a Junior LLM Developer, your role involves contributing to the development of large language models tailored for blockchain applications within the Xnode and Pythia ecosystems. Your work enhances natural language processing capabilities, contributing to the overall innovation and functionality of decentralized data networks. You will have the opportunity to contribute to the development of one of the world's first large-scale open data clouds and analytics engines. Openmesh is a dedicated global initiative that brings together brilliant minds in the tech industry to create open data and open infrastructures that will be pivotal in shaping the next 10-20 years. Responsibilities LLM Development: Contribute to the development of large language models (LLMs) tailored for applications within the blockchain ecosystem. NLP Integration: Integrate natural language processing (NLP) capabilities into blockchain applications to enhance user interactions and data processing. Model Training: Participate in the training and fine-tuning of LLMs for specific use cases within the Xnode and Pythia ecosystems. Collaboration: Collaborate with developers, data scientists, and product teams to implement LLMs effectively. Continuous Learning: Stay abreast of advancements in LLM technology and blockchain applications to inform development strategies. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Experience with large language model frameworks (e.g., GPT, BERT). Strong programming skills in languages such as Python. Understanding of blockchain and decentralized technologies. Ability to work in a collaborative and research-oriented environment.

Openmesh is a cutting-edge new open-source cloud infrastructure and a global open data network aimed at storing important global data without a middleman. It is the largest open web3 data lake, covering approximately 80% of the entire crypto and web3 ecosystem today. In 2023 and 2024, we aim to expand our data coverage to include public health and scientific research data.