Found Description
- Design and implement high-performance, highly stable platform services
- Support data calculation needs for intelligent risk decision. Delivering high-quality and efficient data computing products
- Participate in offline and real-time data development to support risk analysis, model training, and other risk-related data needs
- Research, evaluate, and apply industry best practices and AI in anti-fraud system engineering
- Collaborate closely with product, algorithm/strategy, and platform teams to ensure smooth integration and evolution of the anti-fraud system.
- Bachelor’s degree or above in computer science or a related field
- At least 3 Years of full time experience in designing and optimizing high-concurrency, high-availability backend services
- At least 1 year of full time experience in big data platforms such as Flink, Spark
- Hands-on experience in applying or fine-tuning LLM/AI
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