ML Infrastructure Engineer
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 Looking For
• 8+ years of experience in Infrastructure Engineering, DevOps, or ML Infrastructure.
• Proven expertise in designing and managing large-scale GPU clusters for AI workloads.
• Hands-on experience with distributed training frameworks and model serving at scale.
• Strong background in building and automating infrastructure for machine learning pipelines.
• Deep understanding of container orchestration and high-performance computing networking.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now
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 Looking For
• 8+ years of experience in Infrastructure Engineering, DevOps, or ML Infrastructure.
• Proven expertise in designing and managing large-scale GPU clusters for AI workloads.
• Hands-on experience with distributed training frameworks and model serving at scale.
• Strong background in building and automating infrastructure for machine learning pipelines.
• Deep understanding of container orchestration and high-performance computing networking.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now