DevOps Engineer
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.
• 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 Apply now
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.
• 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 Apply now