Senior MLOps Engineer

Bridging the gap between traditional data science and production engineering, the full-time Senior MLOps Engineer will operationalize machine learning models through APIs, pipelines, and infrastructure while working in a flexible environment that allows for some remote opportunities. Key responsibilities Operationalize machine learning outputs for production systems, focusing on APIs and pipelines Collaborate with data science teams to transition models from development to production Implement and monitor infrastructure for machine learning applications, ensuring reliability and performance Required qualifications Strong experience with AWS and MLOps practices Proficiency in developing and deploying machine learning models Experience with Databricks and production engineering environments Familiarity with Bedrock, Generative AI, or agentic AI is a plus Ability to work in a collaborative team environment focused on engineering solutions