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 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.

Adaptable 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!

📌 DevOps Engineer (ML) (México)
🏢 BairesDev
📍 México