Large Language Models

March 1

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Global InfoTek, Inc.

Global InfoTek, Inc. is a company that specializes in delivering cutting-edge national security solutions with a focus on speed, agility, and innovation. They support federal agencies by providing enterprise application development, cloud engineering, cybersecurity solutions, advanced analytics, and data visualization, as well as artificial intelligence and machine learning. Their mission is to equip the national security community with the necessary tools to combat threats and challenges effectively. Global InfoTek is committed to building the careers of top-tier cybersecurity professionals to ensure the nation's security.

Full Spectrum Cyber β€’ Rapid Development β€’ Agile Software Development β€’ Advanced Technology R&D β€’ Enhancement and Innovation

πŸ“‹ Description

β€’ The SME in Large Language Models will be responsible for providing expert guidance on developing, evaluating, writing white papers, and deploying LLMs for various applications such as text generation, sentiment analysis, chatbots, and more. β€’ This role will involve working closely with interdisciplinary teams to align LLM capabilities with business goals and user needs.

🎯 Requirements

β€’ Excellent communication skills and ability to write technical white papers β€’ Lead the design, development, and optimization of LLMs for diverse applications. β€’ Stay abreast of the latest research and advancements in the field of natural language processing and large language models. β€’ Collaborate with data scientists, engineers, and product teams to define requirements and specifications for LLM applications. β€’ Evaluate existing LLM frameworks and recommend modifications to enhance efficiency and performance. β€’ Conduct training workshops and knowledge-sharing sessions to educate team members on LLM technologies and best practices. β€’ Assist in building and maintaining documentation regarding LLM projects, algorithms, and methodologies. β€’ Implement best practices for model training, fine-tuning, and deployment in real-world scenarios. β€’ Analyze user feedback and experiment data to refine models and improve user experience.

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