Software Engineer II, Machine Learning, Risk Engineering
Tasks
- Build anomaly detection models
- Build ensemble models
- Collaborate with product managers and engineers
- Conduct A/B experiments
- Deploy machine learning models
- Detect risk and fraud
- Evaluate supervised learning models
- Optimize machine learning models
- Present machine learning research
- Productionize machine learning models
- Prototype machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Azure | B testing | Decision Trees | Deep learning | Ensemble learning | GCP | Gradient boosting | Gradient boosting decision trees | Infrastructure as Code | Machine Learning | Neural Networks | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Terraform | Unsupervised Learning | “as-code”
Education
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