The MLOps Engineer will contribute to a long-term technology project to develop decision-ready underwriting data and insights within short time durations of receiving a submission. The project seeks to unify different human/digital workflows and technology stacks under a single umbrella. The MLOps contribution to the project will relate to developing ML models, refactoring and optimizing existing ML models, and affecting model life cycle management around project components that use prebuilt AI. The initial phase of project will likely span roughly six months with potential for engagements with the contractor in subsequent phases.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree