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8 дней назад

Senior Machine Learning Engineer (Fintech)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning Engineer (Fintech): Building and operating production machine learning systems for financial crime detection, transaction processing, and client onboarding with an accent on end-to-end model ownership, risk scoring, and infrastructure for model serving. Focus on daily client-base scoring, continuous monitoring, champion-challenger evaluation, and optimizing ML-driven transaction rules and alerts.

Location: Spain; remote, with flexibility to work remotely or in a hybrid model across Europe.

Company

hirify.global is a European fintech startup building an all-in-one financial platform for entrepreneurs, combining banking, accounting, financial management, and invoicing.

What you will do

  • Develop, prototype, deploy, and improve binary classification and regression models for financial crime detection during transaction processing and client onboarding.
  • Own and evolve the Dynamic Risk Score across all markets, scoring the full client base daily for client-lifecycle decisioning.
  • Develop and optimize ML-driven transaction rules to improve detection performance and reduce unnecessary alerts.
  • Build continuous monitoring for model and rule performance in production.
  • Develop champion-challenger and A/B evaluation frameworks to keep the best-performing model live.
  • Contribute to infrastructure for model operationalization, serving, inference, and inter-service interactions.

Requirements

  • At least 5 years of experience as a Machine Learning Engineer or Full-stack Data Scientist.
  • Production deployment experience, including API services such as FastAPI.
  • Strong Python, SQL, and cloud data platform skills, including platforms such as Databricks.
  • Strong architectural skills and experience designing infrastructure for models of varying complexity.
  • Experience with production model monitoring and champion-challenger or A/B evaluation.
  • Quantitative education in mathematics, engineering, economics, or computer science, plus full working proficiency in English.

Nice to have

  • Experience with graph modeling.
  • Experience with foundation models or embeddings.

Culture & Benefits

  • Work remotely or in a hybrid model across Europe.
  • Access to personal and professional development opportunities.
  • Stock options available to all team members.
  • Supportive, friendly, and eco-conscious work culture.
  • Work & Swim program offering one month in a corporate apartment in Cyprus.

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