nSure.ai is a world leader in AI-powered advanced fraud prevention for high-risk digital transactions. We provide a unique multi-tenant platform that empowers our customers with their own AI/Machine learning model. Our platform's ability to collect, aggregate, and analyze behaviors and data in real-time enables nSure.ai to deliver payment approvals north of 90%. nSure.ai currently serves clients across four continents - among them are global leaders in the gift card, gaming, crypto and online travel segments.

#Full-Time-Position

Requirements:

• Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field.
• 5 years of proven expertise in algorithms research, with a focus on deep learning or signal processing.
• Track record of publishing high-impact research papers in reputable conferences and journals
• Strong Proficiency in working with Python
• Excellent problem-solving and analytical skills
• Effective communication and mentorship abilities
  
  

Responsibilities:

• Conduct cutting-edge algorithms research, using signal processing and advanced ML and Statistical methods for anomaly detection, fraud prevention and various other use cases related to risk management
• Train, evaluate, and fine-tune AI models at scale, considering factors such as model performance, latency, and cost, using state of the art frameworks
• Mentor and guide researchers, fostering a collaborative and intellectually stimulating work environment
• Collaborate with cross-functional teams to integrate research findings into practical applications
• Stay abreast with the latest research advancements