ML Platform Engineer - Remote Work | REF#295549

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

Benefits offered by this job

Hardware & software setup for home

Flexible hours

Paid parental leaves and holidays

Global, multicultural team

Job summary

BairesDev seeks an ML Platform Engineer to design and maintain the underlying infrastructure powering machine learning lifecycles. You will provide a robust foundation for ML workflows, enabling reliable deployment and scalable model operations across teams.

You will collaborate with data scientists to abstract infrastructure, build scalable pipelines, and deliver self-service platform tooling. This 100% remote role offers flexible hours and global opportunities.

Qualifications

• 4+ years in Platform Engineering, ML Engineering, or DevOps.
• Proven expertise in ML infrastructure with Kubernetes and Docker.
• Hands-on experience with ML serving frameworks (TorchServe, Triton, SageMaker).
• Proficiency in building CI/CD pipelines for ML workflows.
• Strong knowledge of model monitoring and observability for production ML.

Responsibilities

• Design, implement, and manage scalable ML infrastructure and orchestration using Kubernetes and Docker.
• Build and optimize automated CI/CD pipelines for ML model training and deployment.
• Develop and maintain model serving solutions with TorchServe, Triton, SageMaker, or KServe.
• Implement comprehensive monitoring to track performance, drift, and health of systems.
• Collaborate with data scientists to simplify infrastructure and provide self‑service tooling.

Skills

Kubernetes

Docker

CI/CD pipelines

ML model serving frameworks

Model monitoring & observability

English proficiency

Tools

TorchServe

Triton

SageMaker

KServe

Job description

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.

As an ML Platform Engineer, you will design and maintain the underlying infrastructure and tooling that powers machine learning lifecycles. You will provide a robust foundation for ML workflows, ensuring that teams can deploy and scale models with high reliability and efficiency.

What You'll Do

• Design, implement, and manage scalable ML infrastructure and orchestration using Kubernetes and Docker.
• Build and optimize automated CI/CD pipelines specifically tailored for machine learning model training and deployment.
• Develop and maintain robust model serving solutions using frameworks like TorchServe, Triton, SageMaker, or KServe.
• Implement comprehensive model monitoring and observability tools to track performance, drift, and system health.
• Collaborate with data scientists to abstract infrastructure complexities and provide self-service platform tooling.

What We Are Looking For

• 4+ years of experience in Platform Engineering, Machine Learning Engineering, or DevOps.
• Proven expertise in managing ML infrastructure using Kubernetes and Docker.
• Hands-on experience with ML serving frameworks such as TorchServe, Triton, or SageMaker.
• Proficiency in building CI/CD pipelines tailored for machine learning workflows.
• Strong knowledge of model monitoring and observability tools for production ML systems.
• 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!