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Senior Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Developing and optimizing ML models for recommendations, personalization, and fraud detection for a leading rewards and payments platform with an accent on scalability and MLOps. Focus on building high-impact ML products, implementing statistical modeling at scale, and driving business metrics through rapid experimentation.

Location: On-site in Shenzhen, China

Company

Asia-Pacific’s leading shopping, rewards, and payments platform serving over 60 million shoppers across 13 markets.

What you will do

  • Enhance product experience using ML for recommendations, personalization, risk, and fraud detection.
  • Act as a subject matter expert in a specific ML domain while addressing product and user challenges.
  • Drive critical business and product metrics through the application of appropriate tools and technologies.
  • Foster a fast-paced experimentation culture to test and refine solutions quickly.
  • Collaborate with cross-functional partners and stakeholders to achieve optimal outcomes.

Requirements

  • 6+ years of industrial ML experience with expertise in modeling and statistical modeling.
  • Strong proficiency in Python and deep learning libraries such as PyTorch and TensorFlow.
  • Solid understanding of MLOps, including data collection, productionization, and monitoring.
  • Education in a quantitative field such as Computer Science, Statistics, or Mathematics.
  • Demonstrated use of AI tools (e.g., ChatGPT, Cursor) to enhance productivity and workflows.
  • Location: Must be based in or able to work on-site in Shenzhen, China

Culture & Benefits

  • Opportunities for career growth and taking on greater challenges.
  • Competitive compensation based on individual performance.
  • Candid, open, and collaborative culture where feedback is highly valued.
  • Opportunity to be part of a winning team scaling globally.

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