AI Director at OKX

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OKX

AI Director

sg flag
Singapore

On-site

Full Time

#Engineering

#SQL

#Python

#Data Analysis

#Machine Learning

#Deep Learning

#Data Modeling

#Statistical Techniques

#Data Pipelines

#PyTorch

#Analytics

OKX is looking for a AI Director

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At OKX, we are driven by the belief that cryptocurrency will reshape the future and foster greater individual freedom. Since our inception as a crypto exchange, we have grown into one of the world's largest platforms, serving millions of users with our advanced Web3 wallet and providing trusted infrastructure for large institutions. We are deeply committed to building a transparent and accessible society through blockchain technology, evidenced by our monthly proof of reserves and continuous innovation in security. As we expand our global footprint into markets like Singapore, we are looking for an AI Director to join our team on an on-site, full-time basis. Please note that we are prioritizing candidates who currently possess the legal right to work in Singapore without requiring visa sponsorship.

Key outcomes

  • Lead the end-to-end AI and business intelligence strategy to democratize insights across our core business operations.
  • Collaborate with engineering, product, and cross-functional teams to define key metrics, influence product roadmaps, and drive business strategy through data.
  • Architect and design advanced analytics solutions that address complex business challenges and support data-driven decision-making.
  • Oversee the full lifecycle of machine learning projects, from initial data aggregation and exploratory analysis to model validation and production deployment.
  • Develop and refine data models, automated reporting systems, and performance metrics to track business impact over time.
  • Communicate technical findings and strategic insights effectively to diverse stakeholders, bridging the gap between business objectives and technical execution.
  • Continuously improve machine learning methodologies by conducting computational experiments and optimizing model parameters.

Requirements

  • Over 8 years of industrial experience, including deep expertise in recommendation systems and at least 3 years in a leadership capacity.
  • Proven track record in data science or analytical roles involving complex modeling and data extraction.
  • Advanced proficiency in SQL, including window and aggregate functions, and Python, with strong experience in libraries such as pandas, numpy, and scikit-learn.
  • Strong foundation in statistical techniques, hypothesis testing, and experimental design.
  • Hands-on experience building production-grade machine learning systems, including feature engineering, data pipelines, and hyperparameter tuning.
  • Practical experience utilizing deep learning frameworks, specifically PyTorch, to solve real-world problems.
  • Excellent communication skills with the ability to translate technical concepts for non-technical audiences.
  • Fluency in English.

Preferred qualifications

  • A Master’s degree or higher in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
  • Previous experience in industries such as FinTech, eCommerce, SaaS, AdTech, or digital wallets.
  • Familiarity with big data tools including Hadoop, Hive, Spark, HBase, Amplitude, or DataWorks.
  • Demonstrated success in using analytics to drive company growth or revenue.
  • Experience with large-scale application development practices.

Compensation

We offer a competitive total compensation package designed to reward your expertise. Our benefits include:

  • Comprehensive medical, dental, and vision insurance for you and your dependents.
  • A dedicated learning budget and professional development programs.
  • Access to wellness programs and meal allowances.
  • Generous paid time off.

How to apply

If you are passionate about the intersection of AI and blockchain technology and meet the requirements outlined above, we invite you to submit your application. We look forward to reviewing your experience and discussing how you can contribute to our mission at OKX.

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