Remote ML Infrastructure Engineer: GPU Clusters & Training

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

USD compensation

Equipment provided

Flexible schedule

Parental leave

Job summary

BairesDev is seeking an ML Infrastructure Engineer to build foundational systems for large-scale machine learning operations. You will empower ML teams by designing and managing high-performance GPU clusters and scalable distributed training frameworks.

You will design enterprise-scale GPU clusters, implement distributed training, and maintain low-latency model serving in production. The role offers 100% remote work, USD compensation, flexible hours, and opportunities to collaborate with the

Qualifications

• 8+ years in Infrastructure/DevOps/ML infra.
• Experience designing large-scale GPU clusters.
• Hands-on with distributed training frameworks.
• Experience with model serving at scale.
• Infra automation for ML pipelines.
• Strong container orchestration and HPC networking.
• Advanced English proficiency.

Responsibilities

• Design and architect enterprise-scale GPU clusters for AI workloads.
• Implement and optimize distributed training frameworks to reduce iteration cycles.
• Build and maintain high-performance model serving infrastructure.
• Manage large-scale orchestration of ML workloads for hardware utilization.
• Collaborate with data science to define infra standards and resources.

Skills

GPU cluster design

Distributed training

Model serving at scale

Container orchestration

HPC networking

English proficiency

Tools

Kubernetes

Job description

BairesDev is seeking an ML Infrastructure Engineer to build foundational systems for large-scale machine learning operations. You will empower ML teams by designing and managing high-performance GPU clusters and scalable distributed training frameworks.

You will design enterprise-scale GPU clusters, implement distributed training, and maintain low-latency model serving in production. The role offers 100% remote work, USD compensation, flexible hours, and opportunities to collaborate with the