Senior Machine Learning Engineer, Risk Modeling
Bay Area, CA, United States of America
USD 160K-283K (estimate) Senior-level Full Time
Tasks
- Apply modeling techniques and third party data
- Build ML tooling and processes
- Deploy monitor and iterate ML models
- Design machine learning risk solutions at scale
- Develop end-to-end machine learning systems
- Ensure real time and at scale model reliability
- Investigate fraud, abuse, and risk patterns
- Lead technical decision making for ML workstreams
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Web Services | CI/CD | Cloud platform | Containerization | Google Cloud | Google Cloud Platform | MLflow | MySQL | NumPy | Pandas | Prefect | PySpark | PyTorch | Python | Scikit-learn | Snowflake | Tableau | TensorFlow | Vertex AI | Web Services | XGBoost
Education
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