DevOps Engineer (ML) | REF#295550

BairesDev; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

100% remote work

Competitive USD salary

Home office equipment provided

Flexible hours

Paid parental leave

National holidays

Job summary

BairesDev in the United States seeks an experienced DevOps Engineer (ML) to design and manage infrastructure for production ML pipelines, bridging data science and operations.

You will build scalable CI/CD, containerize ML apps, and ensure model serving with Kubernetes and Docker, while collaborating with ML teams for reliable deployments.

This fully remote role offers competitive USD compensation and a dynamic, multicultural environment.

Qualifications

• 4+ years in DevOps, MLOps, or Platform Engineering.
• Proven expertise with ML infra and pipelines on Kubernetes and Docker.
• Hands-on with TorchServe, Triton, SageMaker, or KServe.
• Strong Python skills and ML-focused CI/CD workflows.
• Knowledge of ML observability, monitoring, and drift detection.
• Advanced English proficiency.

Responsibilities

• Design and maintain robust CI/CD pipelines for ML models and data workflows.
• Implement and scale model serving using TorchServe, Triton, SageMaker, and KServe.
• Containerize ML apps and orchestrate with Kubernetes and Docker.
• Develop model monitoring and observability to detect drift.
• Collaborate with ML teams to build automated deployment tooling.

Skills

DevOps

MLOps

Platform Engineering

Kubernetes

Docker

Python

CI/CD

ML observability

English

Tools

Kubernetes

Docker

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 a DevOps Engineer (ML), you will design and manage the infrastructure required to put machine learning models into production. You will act as a link between data science and operations, ensuring that ML pipelines are scalable, reproducible, and highly available.

What You'll Do

• Design and maintain robust CI/CD pipelines specifically tailored for machine learning models and data workflows.
• Implement and scale model serving solutions using technologies like TorchServe, Triton, SageMaker, and KServe.
• Containerize ML applications and manage orchestration within Kubernetes and Docker environments to ensure efficient resource utilization.
• Develop and oversee model monitoring and observability systems to detect performance drift and ensure system health.
• Collaborate with ML teams to build and optimize automated platform tooling for pipelines and deployment.

What We Are Looking For

• 4+ years of experience in DevOps Engineering, MLOps, or Platform Engineering.
• Proven expertise in managing machine learning infrastructure and pipelines using Kubernetes and Docker.
• Hands-on experience with ML serving frameworks such as TorchServe, Triton, SageMaker, or KServe.
• Solid proficiency in Python and implementing CI/CD workflows tailored for machine learning.
• Strong understanding of ML observability, model monitoring, and drift detection.
• Advanced proficiency in English.

How we 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!