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Machine Learning Engineer II (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer II (Fintech): Building production ML models and risk management tools that are the core of hirify.global's product with an accent on minimizing fraud exposure and improving the e-commerce shopping experience. Focus on research emerging fraud patterns in real-time and collaborating with engineering teams to strengthen our machine-learning pipeline.

Location: Budapest, Hungary

Company

hirify.global helps merchants confidently grow their businesses by building trusted relationships with their customers through advanced technology and a team invested in client success.

What you will do

  • Research emerging fraud patterns in real-time with our Risk Intelligence team.
  • Improve the important components of the hirify.global Commerce Protection Platform.
  • Communicate complex ideas to a variety of audiences, including executives.
  • Build production machine learning models that identify fraud.
  • Write production and offline code in Python and PySpark.
  • Collaborate with engineering teams to strengthen our machine-learning pipeline.

Requirements

  • A degree in computer science or a comparable analytical field.
  • 3+ years of post-undergrad work experience required.
  • Strong verbal and written communication skills.
  • Strong machine learning and statistical background, and a track record of being able to deliver under pressure.
  • Write code and review others' in a shared codebase in Python.
  • Practical SQL knowledge.
  • Familiarity with the Linux command line.

Nice to have

  • Previous work in fraud, payments, or e-commerce.
  • Data analysis in a distributed environment.
  • Passion for writing well-tested production-grade code.
  • A Master's Degree or PhD.

Culture & Benefits

  • Stock Options and Annual Performance Bonus or Commissions.
  • Pension matched up to 3%.
  • ‘Day one’ access to great health insurance scheme.
  • Paid team social events.
  • Mental wellbeing resources.
  • Dedicated learning budget through Learnerbly.

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