Senior Machine Learning Engineer - Customer Risk
Tasks
- Architect machine learning infrastructure
- Build production machine learning models
- Collaborate with product team on risk roadmap
- Deploy machine learning models for real time risk assessment
- Develop data processing pipelines
- Develop model evaluation frameworks
- Lead machine learning risk system development
- Operationalize ML workflows with MLOps tools
- Translate risk signals into business outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Argo Workflows | C plus plus | Deep learning | Docker | Grafana | Java | Kubernetes | LightGBM | MLOps | MLflow | Machine Learning | Pandas | Prometheus | PyTorch | Python | SQL | Spark | TensorFlow | Trino | XGBoost
Education
N/A
Regions
Countries
States
Cities
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