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Описание вакансии
Текст:
TL;DR
Senior Fraud Data Scientist (MLOps/Fintech): Developing and optimizing card fraud detection models and automating model retraining with an accent on MLOps pipelines and production integration. Focus on building CI/CD workflows for ML, ensuring regulatory compliance, and conducting stress testing for fraud risk systems.
What you will do
- Develop and optimize card fraud detection models to minimize financial risk.
- Build and maintain MLOps pipelines for continuous integration, deployment, and monitoring.
- Automate model retraining processes and establish performance tracking.
- Deploy fraud models using SAS SFD and integrate them with production systems.
- Collaborate with fraud risk, data engineering, IT, and business teams to align goals.
- Conduct stress testing and validate model performance against industry benchmarks.
Requirements
- Strong experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Proficiency in Python and SQL for data manipulation and model development.
- Hands-on experience with MLOps tools including MLflow and Kubeflow.
- Experience working with cloud environments (AWS, Azure, or GCP).
- Technical knowledge of SAS and SAS SFD for model deployment.
- Ability to ensure models meet strict business and regulatory requirements.
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