
360 Energy is a company with 25 years of experience helping organizations reduce their energy costs and carbon emissions. This is achieved by compiling and analyzing data, offering executive and team training, developing procurement strategies, and providing coaching programs. 36 Energy’s expertise lies in helping businesses understand their energy use and emissions, particularly for organizations that lack a clear carbon strategy. They aim to meet the growing demands of businesses by digitizing and scaling their processes through an Enterprise Carbon and Energy Service solution called Envirally. This software analyzes operational data to help organizations manage and reduce their energy consumption and carbon footprint, while also educating them on the importance of carbon management practices
With support from theTalent Development Intern program, 360 Energy will bring on a new hire that will be responsible for developing data stream pipelines, maintaining Retrieval-Augmented Generation (RAG) pipelines, and setting up Large Language Models (LLMs) for natural language processing tasks. They will design and implement the LLM Response Reliability Index (LRRI) to evaluate LLM performance, focusing on metrics like the Expert Alignment Score (EAS), Uncertainty Handling, Bias and Fairness Index, and Task Completion Rate. The candidate will collaborate with cross-functional teams to integrate LRRI findings into LLM/RAG improvement processes and contribute to API development, predictive modeling, and exploratory data analysis.
The intern which will be supported by the Talent Development Internship Program will play a pivotal role in advancing and scaling 360 Energy’s SAAS software for the agriculture sector, particularly benefiting clients such end users, associations like OGVG and utilities like Enbridge.
Join Us