ML Infrastructure Engineer - Remote Work | REF#295175

BairesDev; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD compensation

Equipment provided

Flexible schedule

Parental leave

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

GPU cluster design

Distributed training

Model serving at scale

Container orchestration

HPC networking

English proficiency

Herramientas

Kubernetes

Descripción del empleo

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

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!