Senior Data Engineer
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The role
As a Senior Data Engineer on the Predictive Fraud Intelligence MLOps team, you will build and maintain reliable data pipelines that feed fraud-detection models across the product lifecycle.
Design platforms that support rapid model experimentation, training, evaluation, versioning, and deployment.
Create automated monitoring for data drift, model performance, and operational health to ensure models stay accurate as fraud patterns evolve.
Collaborate closely with data scientists, product managers, and cross-functional teams to accelerate from concept to production.
Ensure security, compliance, and traceability across the full ML lifecycle and provide self-service tooling to empower data scientists.
A growth mindset, strong problem-solving skills, and experience with large-scale cloud data systems are essential for success.
Design platforms that support rapid model experimentation, training, evaluation, versioning, and deployment.
Create automated monitoring for data drift, model performance, and operational health to ensure models stay accurate as fraud patterns evolve.
Collaborate closely with data scientists, product managers, and cross-functional teams to accelerate from concept to production.
Ensure security, compliance, and traceability across the full ML lifecycle and provide self-service tooling to empower data scientists.
A growth mindset, strong problem-solving skills, and experience with large-scale cloud data systems are essential for success.
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