Opportunity Description
Key engineering leading POPS :(pipeline operation system) automated framework to build and deploy analytics workflows in databricks and AWS. This role will work on MIME: Enterprise-wide entity that intakes and govern all enterprise wide analytical workflows making sure our analytical workflows are not unfairly targeting certain demographics (race, gender and zip codes)
**Software Engineer Advisor (** **MLOps** **Engineer)**
An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production environments. This role bridges the gap between data science and IT operations, ensuring seamless integration of machine learning models into operational workflows. The MLOps Engineer works closely with data scientists, software engineers and DevOps teams to automate and streamline the model lifecycle, from development to deployment and monitoring.
In addition to Delivery, the MLOps Engineer should have an automation first a...
**Software Engineer Advisor (** **MLOps** **Engineer)**
An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production environments. This role bridges the gap between data science and IT operations, ensuring seamless integration of machine learning models into operational workflows. The MLOps Engineer works closely with data scientists, software engineers and DevOps teams to automate and streamline the model lifecycle, from development to deployment and monitoring.
In addition to Delivery, the MLOps Engineer should have an automation first a...
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