A company is looking for a Machine Learning Operations Engineer.Key ResponsibilitiesDesign and build scalable ML infrastructure to support model training, evaluation, and deploymentDevelop and maintain containerized environments using Docker and KubernetesImplement and maintain ML lifecycle tooling and production inference systemsRequired QualificationsBachelor's or Master's degree in Computer Science, Engineering, or equivalent experience5+ years of experience in software engineering, DevOps, or MLOps rolesStrong proficiency in Python and experience building production-grade systemsHands-on experience with Docker, Kubernetes, and distributed systemsExperience working with cloud-based data platforms such as Snowflake