BairesDev hiring ML Infrastructure Engineer

BairesDev hiring ML Infrastructure Engineer - Remote Work in Latin America | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. ML Infrastructure Engineer - Remote Work ML Infrastructure Engineer - Remote Work BairesDev Latin America 3 months ago Be among the first 25 applicants See who BairesDev has hired for this role No longer accepting applications At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. ML Infrastructure Engineer at BairesDev As an ML Infrastructure Engineer, you will build the foundational systems that enable large-scale machine learning operations. You will empower ML engineering teams by designing and managing high-performance GPU clusters and scalable distributed training frameworks. What You'll Do: - Design and architect enterprise-scale GPU clusters to support intensive AI workloads and distributed training. - Implement and optimize distributed training frameworks to significantly reduce model development and iteration cycles. - Build and maintain high-performance model serving infrastructure to ensure low-latency and scalable inference in production environments. - Manage large-scale orchestration of ML workloads to maximize hardware utilization and system reliability. - Collaborate with data science teams to define infrastructure standards and resource requirements for complex deep learning models. What we are looki