Senior Machine Learning Engineer, Trust
Tasks
- Analyze structured and unstructured data
- Build machine learning models to predict unauthorized parties
- Collaborate with cross functional teams to define fraud detection requirements
- Detect party intent for reservations
- Develop heuristics and detection strategies
- Improve models for real time use cases
- Investigate user patterns and behaviors
- Productionize and operate machine learning models and pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Apache Airflow | Apache Kafka | Apache Spark | B testing | Batch Processing | Boosted Trees | C plus plus | Computer Vision | Data Engineering | Deep learning | Feature Engineering | Feature Selection | Gradient Boosted Trees | Hive | Java | Kubernetes | Language Processing | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Neural Networks | Optimization | PyTorch | Python | Real Time | Real-time Processing | Recommendation Systems | Scala | TensorFlow | Test-Driven | Test-Driven Development | Time processing | Training Serving Skew Minimization | Training-serving skew
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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