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Machine Learning Fraud Specialist
2 weeks ago
Machine Learning Fraud Specialist
">This is a senior machine learning engineer position focused on fraud detection and prevention. The role involves developing and deploying effective fraud detection models, collaborating with cross-functional teams, and mentoring junior engineers.
">About the Role:
">- Developing fraud detection models to prevent revenue leakage across various monetization channels.
- Collaborating with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.
- Mentoring team members in machine learning model deployment and data wrangling.
Key Responsibilities:
">Fraud prevention is crucial for business integrity and growth. As a senior machine learning engineer, you'll be responsible for developing and deploying effective fraud detection models, collaborating with cross-functional teams, and mentoring junior engineers.
">Requirements:
">- Experience in building and deploying machine learning models in production environments, preferably for fraud, abuse, or anomaly detection use cases.
- Strong communication skills to align cross-functional teams and drive clarity in chaos.
- Hands-on experience building complex internal tools and user-facing flows at scale.
- Familiarity with Python, PyTorch, TensorFlow, or scikit-learn.
- Experience in fintech and business process automation is a plus.
Benefits and Culture:
">- Equity packages to share in our success.
- Inclusive parental leave policy that supports all parents & carers.
- An annual allowance to support your wellbeing, social connection, office setup & more.
Ambition and Opportunity:
">We're looking for talented individuals who are passionate about machine learning, fraud prevention, and collaboration. If you're excited about this opportunity, please consider applying.
