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Machine Learning Engineer for Fraud Prevention
2 weeks ago
About the Role:
">- ">
- Protecting users and preventing fraudulent activities is a critical aspect of this position. You will be working on developing machine learning solutions to identify and prevent various types of fraud.">
As a Machine Learning Engineer, you will analyze massive business and security data to mine abnormal user behavior and uncover evolving risky patterns. This requires strong coding skills in one or more programming languages and familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
">Responsibilities:
">- ">
- Develop machine learning solutions to identify and prevent fraudulent activities">
- Analyze massive business and security data to mine abnormal user behavior and uncover evolving risky patterns">
- Build data pipelines to enable scalable and real-time risk prevention">
- Analyze/test the effectiveness of built solutions">
- Work in a cross-functional team setting to mitigate business risks">
- Work with relevant software platforms to develop/deploy/monitor models">
Qualifications:
">- ">
- Final year or recent PhD graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline">
- Good coding skills in one or more programming languages">
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch">
Benefits:
">- ">
- Competitive compensation package">
- Flexible working hours">
- Career growth opportunities">
- Positive work atmosphere">
- Stock options">
- Paid leave">
- Yoga and fitness facilities">
What We Offer:
">We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We strive to do great things with great people, leading with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
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