Casap is looking to solve the problem of automating disputes and fighting friendly fraud in the banking industry
Requirements
3+ years of experience designing and deploying ML models in a high-scale production environment
Strong knowledge of machine learning algorithms and data analysis techniques
Strong proficiency in programming languages like Python, R, or similar
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
Responsibilities
Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud
Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes
Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience
Other
Ability to think like a product engineer, balancing technical innovation with practical application and user needs
Excellent problem-solving skills and the ability to work independently and in a collaborative team environment
