OKX
AI Engineering Director
On-site
Full Time
#Engineering
#AI
#Fraud Detection
#Machine Learning
#Data Engineering
#Risk
#Project Management
#Deep Learning
#Algorithms
OKX is looking for a AI Engineering Director
Full TimeExecutiveOn-siteSingaporeEngineeringAIFraud DetectionMachine LearningData EngineeringRiskProject ManagementDeep LearningAlgorithmsEnglishLearning budgetProfessional development
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
Introduction:
We are seeking an experienced Lead Engineer to spearhead the implementation of cutting-edge AI technologies, including transformer models, to combat and prevent fraudulent activities. This role requires an expert in AI-driven fraud detection systems who can effectively integrate complex models into our risk infrastructure to maintain and enhance platform safety & efficiency.
What You’ll Be Doing
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Lead the development and deployment of advanced AI models, specifically focusing on transformer models, to detect and mitigate fraudulent activities.
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Utilize transformer models to analyze sequential data for deeper insights into user behavior patterns that could indicate potential fraud.
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Collaborate with data engineering teams to refine data inputs, build and train transformer models to ensure high accuracy and efficiency in fraud detection.
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Continuously evaluate and iterate on the performance of AI models, incorporating the latest research and techniques in machine learning and AI.
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Responsible for demonstrating the models to stakeholders in alignment with their expectations
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Train and mentor team members in AI technologies and methodologies, fostering a culture of technical excellence and innovation, be responsible for anti-fraud work planning and project management.
What We Look For In You
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Advanced degree in Computer Science, Data Science, or a related field.
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Minimum of 10 years of experience in technology companies, with at least 5 years' experience in fraud detection/prevention, including hands-on experience with AI and machine learning technologies
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Demonstrated experience in developing and implementing deep learning models and user behavior analytics to detect fraud and security risks.
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Hands-on experience with feature designing, transformer, and clustering algorithms.
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Proven leadership in managing technical teams and delivering complex systems with a focus on fraud prevention and risk mitigation.
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Excellent problem-solving, strategic thinking, and communication skills.
Preferred Qualifications:
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Experience in startup environments and fast-paced companies or top-tier technology companies
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Published research or contributions to the field of cybersecurity, especially in areas relevant to fraud detection and platform security.
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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More that we love to tell you along the process!
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