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This job is closed
Who We Are
About the Opportunity
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.
Nice to Haves
- Experience in fraud detection, specifically in areas like bot detection, credit card chargeback prevention, and promotion abuse protection, is highly desirable.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
OKX Statement
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.