Sr. AI/ML Engineer with Finance- Payment Industry Fraud/Anamoly detection
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Role details
Tech stack
Requirements
The profile would be a Databricks ML Engineer who has built or contributed to fraud detection use cases.w
-Need to have solid practical knowledge of Databricks capabilities such as feature engineering and the feature store, along with experience using MLflow for experiment tracking and lifecycle management.
-Strong experience with models and techniques like XGBoost and Isolation Forest for example,.
Strong experience working with structured streaming pipelines and deploying solutions through model serving feature in Databricks.
-10-14 years experience
Core skills
-Finance- Payment Industry Fraud/Anamoly detection Use cases
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