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Machine Learning Engineer
3 weeks ago
We're seeking a seasoned Machine Learning Engineer to spearhead the development and deployment of advanced fraud detection models.
This key role requires expertise in building and optimizing machine learning models for production environments, particularly in the realm of fraud, abuse, or anomaly detection.
The successful candidate will collaborate closely with cross-functional teams to drive innovation and implement effective fraud prevention strategies.
Key responsibilities include:
- Designing and implementing machine learning models to detect and prevent revenue leakage.
- Developing and maintaining data pipelines to support model training and evaluation.
- Working with backend engineers to integrate models into production environments.
- Collaborating with product managers to identify areas for improvement and prioritize feature development.
Requirements include:
- Proven experience building and deploying machine learning models in production environments.
- Strong expertise in machine learning concepts, including supervised and unsupervised learning.
- Ability to work effectively in a fast-paced environment and meet deadlines.
- Excellent communication and collaboration skills, with the ability to align cross-functional teams.
- Experience working with large datasets and developing scalable solutions.
About the Team
We are a platform team dedicated to understanding and mitigating revenue leakage. Our team works closely with other departments to develop and implement effective fraud prevention strategies, ensuring the integrity of our business.
