Machine Learning Engineer
Machine Learning Engineer
casap
Casap is a Series A startup based in San Francisco, focused on automating bank operations and combating friendly fraud through innovative machine learning solutions. The company seeks a Machine Learning Engineer to develop and implement models that enhance decision-making processes in the financial sector.
Qualification
- 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
- Enthusiastic about building ML infrastructure from scratch in a nascent environment
- Ability to think like a product engineer, balancing technical innovation with practical application and user needs
- Strong proficiency in programming languages like Python, R, or similar, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Excellent problem-solving skills and the ability to work independently and in a collaborative team environment
Responsibility
- 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
