About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
What You’ll Be Doing
📍Design, develop, and deploy machine learning models to detect and prevent fraudulent activities. 📍Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. 📍Optimize existing machine learning systems for performance and scalability. 📍Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. 📍Conduct research and implement new machine learning techniques and methodologies. 📍Mentor junior team members and contribute to knowledge sharing within the team.
What We Look For In You
📍At least 5+ years of experience in Machine Learning Engineering. 📍Proficiency in Python and familiarity with Java. 📍Solid understanding of common machine learning models, including experience with frameworks like LightGBM and XGBoost. 📍Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis. 📍Knowledge of at least one neural network framework, such as TensorFlow. 📍Experience in building and maintaining data pipelines. 📍Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field. 📍Strong problem-solving skills and ability to work in a fast-paced environment. 📍Excellent communication and collaboration skills.
