About this role
Elevate your career as a Machine Learning Optimization Engineer with Red Hat. Focus on enhancing LLM technologies through innovative model compression and optimization algorithms in a flexible work environment. In this impactful role, you will collaborate with diverse teams to develop and streamline AI model deployment. Your expertise in optimization algorithms and deep learning will be essential to advancing our cutting-edge projects. This position is perfect for candidates eager to engage in open-source solutions and practical machine learning applications. Key Responsibilities: • Contribute to model optimization algorithm development • Create and optimize compression pipelines using advanced techniques • Collaborate on building scalable LLM training frameworks • Monitor and optimize performance across various hardware • Guide and mentor team members for growth Requirements: • Strong foundation in machine learning and deep learning • Practical experience with libraries like PyTorch • Proficient in Python for ML implementations • Understanding of mathematical concepts and algorithms • Relevant degree or PhD in machine learning encouraged Shape the future of AI innovations with your expertise at Red Hat. #J-18808-Ljbffr