Sr. AI/ML Engineer with Finance- Payment Industry Fraud/Anamoly detection

NITYA Software Solutions, Inc.
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Fraud Prevention and Detection Feature Engineering Xgboost Machine Learning Operations Databricks

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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