About the Opportunity:
Reporting into the Customer Data Office the MLOps Engineer will be the technical go to for everything across this functionality. You will support the overall team to develop a world class AI/ML tech stack and Machine Learning Ops capability to ensure we can deliver high quality research solutions optimally. Responsibilities include:
Join a continual uplift squad, partnering with other Data SMEs to deliver excellent solutions
Lead large-scale experiments in the cloud, working closely with our skilled platform team to craft efficient tooling solutions.
Drive the adoption of best practices in MLOps, including version control, testing, continuous integration, DevOps, Data Pipeline, and deployment.
Work closely with cross-functional teams to identify and resolve operational challenges related to data pipelines, infrastructure, and performance tuning.
Develop and optimize workflows for model training, feature engineering, data ingestion, and preprocessing to enable efficient and reproducible
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