Machine Learning Operations Engineer

Job description

Location: Fully Remote Preferred Locations: Midwest-based; Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: We are K1X. Our platform powers a modern, all-digital K-1 experience by replacing legacy workflows with scalable software and AI-driven automation. As we expand our machine learning capabilities, we are investing in a robust ML platform that enables production-grade model development, deployment, and monitoring across our products. About your Role: We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers to efficiently train, deploy, and operate models in production. You’ll work at the intersection of software engineering, DevOps, and machine learning—owning the reliability, scalability, and performance of our ML platform. Your Responsibilities: - Design and build scalable ML infrastructure to support model training, evaluation, and deployment. - Develop and maintain containerized environments using Docker and Kubernetes. - Build...