ML Platform 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 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 Apply now
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 Apply now