17 hours ago
🏡 Remote – New York
• An ML Engineer to support fraud detection and customer support automation
• Development and support of services for generating responses and suggestions for support agents • Development and support of user fraud scoring services • Development of KYC mechanics using ML algorithms • Deployment and integrating ML models as services • Best practices of working with data in DWH and Features store • Best practices of working with MLOps infrastructure
• Flexible working hours • Autonomous working environment • Quality of work influences career • Employee stock options program • Health Insurance
Apply Now