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Be ready to explain core ML concepts (train/eval split, overfitting, metrics) and how models could support platform governance in e-commerce. Expect simple coding or data-cleaning tasks, plus questions on fairness, false positives, and communicating risk trade-offs. Prepare one project story that shows you shipped or improved a model end to end.
Strong fit if you want early-career ML work tied to trust and platform rules, not only pure product recommender work. Singapore-based and on-site oriented; best if you enjoy structured learning, careful evaluation, and cross-team clarity.
As a Machine Learning Engineer Graduate on Global E-Commerce Platform Governance at Visa Hunt in Singapore, a typical day centers on learning how governance, risk, and platform rules show up in models and data pipelines. You may help build or evaluate ML checks for policy, abuse, or quality signals; review features and metrics with mentors; and turn findings into clear notes for product or trust teams. Expect a mix of coding, experiment tracking, and stakeholder updates rather than solo research.
The listing is marked non-remote and based in Singapore, so plan for local on-site or hybrid expectations unless the employer states otherwise.
In this title it points to using ML to support rules, safety, or quality controls on a global e-commerce platform, not only growth or ranking models.
Candidates starting in ML engineering who can code, reason about metrics, and learn governance-related problem framing with mentorship.
MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, PLATFORM GOVERNANCE) at Visa Hunt in Singapore 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.
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