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