Machine Learning Engineer II

TL;DR

Machine Learning Engineer II: Building production ML models and risk management tools to minimize fraud exposure and improve e-commerce shopping experiences with an accent on real-time fraud pattern research. Focus on improving the hirify.global Commerce Protection Platform and strengthening the machine-learning pipeline.

Location: Hybrid in Budapest, Hungary

Company

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

What you will do

• Research emerging fraud patterns in real-time with the Risk Intelligence team.
• Improve components of the hirify.global Commerce Protection Platform.
• Build production machine learning models that identify fraud.
• Write production and offline code in Python and PySpark.
• Work with distributed data pipelines.
• Collaborate with engineering teams to strengthen the 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.
• Write code and review others' in a shared codebase in Python.
• Practical SQL knowledge.

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.
• Annual Performance Bonus or Commissions.
• Pension matched up to 3%.
• ‘Day one’ access to great health insurance scheme.
• Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads).
• Dedicated learning budget through Learnerbly.