AI Lead Engineer
On-site
Full Time
#Engineering
#AI
#Fraud Prevention
#Machine Learning
#Fraud Detection
#Data Engineering
#Project Management
#Deep Learning
#Algorithms
#Risk Mitigation
#Technical Leadership
Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
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.
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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!
