Cutting-Edge AI Security Solutions Developer

7 hours ago

Singapore beBeeDataScience Full time $100,000 - $150,000

A cutting-edge opportunity awaits a skilled professional to spearhead the development of innovative AI-driven security solutions for online gaming environments.

Job Description

This role involves designing and implementing machine learning models to detect collusion, bot-assisted play, and other forms of cheating in online poker. The ideal candidate will leverage game theory, behavioral analytics, neural networks, and deep reinforcement learning to identify unfair play patterns.

The successful applicant will also be responsible for developing real-time bot detection models that analyze mouse movements, timing patterns, and decision consistency to differentiate human players from AI-assisted or fully automated bots. Additionally, they will utilize keystroke dynamics, clickstream analysis, and behavioral biometrics to detect robotic play.

Other key responsibilities include researching multi-accounting automation and ring-based bot networks, developing AI-driven countermeasures, and implementing graph-based network analysis to uncover bot farms and shared automation systems.

Required Skills and Qualifications
  • PhD or Master's in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
  • 4+ years of experience in neural networks, deep reinforcement learning , preferably in gaming, fraud detection, cybersecurity, or fintech
  • Strong programming skills in Python, SQL, and distributed computing frameworks (Spark, Hadoop, or similar)
  • Experience with TensorFlow, PyTorch, or Scikit-learn for ML model development
  • Hands-on experience deploying ML models in cloud environments (AWS, GCP, Azure) and optimizing for low-latency inference
  • Strong foundation in game theory, Nash equilibrium, and multi-agent learning
  • Familiarity with bot detection methods, anti-automation models, and behavioral fingerprinting
  • Experience working with large-scale structured and unstructured data to detect patterns and anomalies
  • Proficiency in MLOps, CI/CD for AI models, and real-time fraud detection pipelines
Benefits

This position offers a unique opportunity to work at the forefront of AI security research and development, building cutting-edge solutions that adapt to evolving threats in poker and other competitive gaming environments.

Others

Prior experience with multi-agent reinforcement learning (MARL) systems or inverse reinforcement learning (IRL) is a plus.

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