Machine Learning Scientist - Regulatory Reporting Technology
Tasks
- Build production ready ML models for regulatory reporting and risk evaluation
- Collaborate with stakeholders on model reliability and business impact
- Develop automated root cause analysis
- Gather user feedback and iterate on product solutions
- Manage ML deployments and infrastructure
- Own end-to-end ML model lifecycle
- Perform feature engineering in Big Data ecosystem
- Translate statistical signals into actionable recommendations
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Apache Airflow | Apache Kafka | Apache Spark | Causal Inference | Docker | Flink | Hadoop | Kubernetes | Machine Learning | PySpark | Python | Signal Processing | Spark Streaming | Time Series
Education
N/A
Regions
Countries
States
Cities
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