Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance)

MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, PLATFORM GOVERNANCE) at Visa Hunt in Singapore (nationwide) (nationwide)

Role Overview

In this position, you will focus on utilizing algorithms to analyze and predict risks associated with merchants, products, and creators in the e-commerce sector. Your work will support businesses in managing these risks effectively. Additionally, you will develop data models to enhance product offerings and ensure compliance with global standards.

What You'll Do

• Analyze large datasets to identify patterns and trends related to risk management in e-commerce
• Develop predictive models for risk assessment and mitigation strategies
• Collaborate with cross-functional teams to implement data-driven solutions that enhance platform governance
• Contribute to the continuous improvement of machine learning pipelines and algorithms
• Ensure compliance with regulatory requirements and best practices in data management

Who We're Looking For

We are seeking a highly motivated Machine Learning Engineer Graduate who possesses strong analytical skills, a passion for solving complex problems, and a commitment to innovation. Ideal candidates will have experience in machine learning, data analysis, and a solid understanding of statistical methods.

• Recent graduates or early-career professionals with a degree in Computer Science, Data Science, Statistics, or related fields
• Proficiency in programming languages such as Python or R
• Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Able to work effectively in a team environment and communicate complex technical concepts clearly
• Strong problem-solving skills and a proactive approach to learning new technologies

Why Join Visa Hunt

At Visa Hunt, you will have the opportunity to contribute to cutting-edge projects that impact global e-commerce. Our dynamic environment fosters innovation and collaboration, allowing you to grow both professionally and personally. We offer a supportive culture where your ideas are valued, and you can make meaningful contributions from day one.

How to Apply

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.