Sr. AI/ML Engineer (Databricks) with Finance- Payment Industry Fraud/Anamoly detection experience
10 months
Skills
- Minimum 10-14 years experience required
- The profile would be a Databricks ML Engineer who has built or contributed to fraud detection use cases.
- Need to have solid practical knowledge of Databricks capabilities such as feature engineering and the feature store, along with experience using ML flow 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.
Core skills
- Finance- Payment Industry Fraud/Anamoly detection Use cases:
- Databricks
- Feature Engineering Tables
- Feature Store
- MLflow
- XGBoost
- Isolation Forest
- Structured Streaming
- Model Serving
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior