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Machine Learning Engineer

2 months ago

Canada The Learning Experience #393 Full time

As a Machine Learning Engineer specializing in Large Language Models (LLMs) at Agnostiq, one will play a pivotal role in developing and enhancing AI-driven solutions, focusing on the training and tuning of LLMs to achieve unprecedented levels of performance and efficiency. This role requires a deep understanding of machine learning principles, particularly in natural language processing and generation. The candidate is expected to research and implement cutting-edge techniques to improve the efficiency, accuracy, and scalability of LLMs using Covalent Cloud and leveraging high-performance computing. Responsibilities also include the development and optimization of LLMs, creation of technical documentation, and contributing to the AI community. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. Agnostiq is the company behind Covalent, a multi-cloud compute framework for scaling GPU workloads from your laptop to the cloud in Python, enabling simple on-demand access to advanced computing resources. Agnostiq aims to make cutting-edge computing and AI technologies accessible and manageable without requiring deep technical knowledge of infrastructure. Their innovative approach supports the scalability of AI applications and machine learning models, particularly in the field of quantum computing. They are based in Toronto, Canada, but seek talent globally, offering flexible remote work arrangements.
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