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Artificial Intelligence Fraud Prevention Specialist
2 weeks ago
This key role plays a crucial part in shaping our fraud prevention strategy.
You will develop and deploy fraud detection models to prevent revenue leakage across monetization channels.
The successful candidate has extensive experience building and deploying machine learning models in production environments, preferably for fraud, abuse, or anomaly detection use cases.
They are comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration – with strong product sense and empathy for both internal and external users.
Main Responsibilities:
- Developing and deploying fraud detection models
- Collaborating with cross-functional teams
- Mentoring team members
The ideal candidate has hands-on experience building complex internal tools and user-facing flows at scale, as well as a strong grasp of core CS fundamentals, system design, and architecture.
Familiarity with Python and tools like PyTorch, TensorFlow, or scikit-learn is required.
Key Skills:
- Machine learning modeling
- Cross-functional collaboration
- Team mentoring
- Complex tool development
- Python programming
- PyTorch, TensorFlow, or scikit-learn
Benefits of this role include:
- A dynamic work environment
- Ongoing professional development opportunities
- Collaborative team culture
