Senior MLOps Engineer
Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
As an MLOps Engineer, you will design, build, and maintain the infrastructure, pipelines, and tools that enable seamless machine learning deployment and operation across enterprise environments. You’ll bridge the gap between Machine Learning and Software Engineering, owning ML workflows end-to-end from automated training and versioning to production monitoring and continuous integration.
Functional Responsibilities:
- Build and automate continuous integration and deployment (CI/CD) pipelines tailored for machine learning models an
