
Machine Learning Fraud Specialist
2 weeks ago
We are seeking a highly skilled Machine Learning Fraud Specialist to develop and deploy AI-driven fraud detection models, ensuring the integrity of our business operations.
This role will involve collaborating with cross-functional teams to identify and mitigate fraud risks, leveraging machine learning expertise to design and implement effective detection systems. The successful candidate will have strong analytical skills, experience working with complex data sets, and the ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
The ideal candidate will have hands-on experience building and maintaining large-scale machine learning systems, as well as fluency in Python and familiarity with tools like PyTorch, TensorFlow, or scikit-learn. Strong product sense and the ability to work across the ML lifecycle are also essential.
Main Responsibilities:
- Developing and deploying machine learning models for fraud detection.
- Collaborating with cross-functional teams to identify and mitigate fraud risks.
- Designing and implementing effective fraud detection systems.
Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
- Minimum 3 years' experience in machine learning, preferably in a fraud prevention context.
- Strong analytical and problem-solving skills.
- Familiarity with Python programming language.
- Experience working with complex data sets.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
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