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6 дней назад

Senior Anti-Fraud Engineer (AI)

Формат работы
remote (только EU)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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 Anti-Fraud Engineer (AI): Building production fraud detection defenses, automated data pipelines, metrics, and ML- and LLM-based solutions for the Toloka platform with an accent on anomaly analysis, hypothesis testing, and adversarial thinking. Focus on designing rules and models that resist evolving bypass techniques, monitoring deployed defenses, and balancing fraud protection against false positives and user impact.

Location: European Union; remote or hybrid employment available.

Company

hirify.global AI creates data and technology that support leading generative AI models through experts, crowdsourcing, and a technology platform.

What you will do

  • Explore data to identify fraud patterns, anomalies, and attacker behavior.
  • Design protection metrics, dashboards, and visualizations.
  • Generate and rigorously test data-driven hypotheses.
  • Turn validated hypotheses into production rules, heuristics, ML models, and LLM-based defenses.
  • Build and maintain SQL, Python, and Airflow data pipelines.
  • Own anti-fraud solutions end to end, including deployment, monitoring, bypass analysis, and fraud policy definition.

Requirements

  • Strong analytical thinking, including framing ambiguous problems, selecting metrics, and drawing sound conclusions from messy data.
  • A hypothesis-driven approach and ability to test ideas properly.
  • Confident, efficient SQL for large datasets.
  • Python and ML experience, including feature engineering, model training and evaluation, and production deployment.
  • Working experience with Airflow or similar orchestration tools.
  • Product sense and understanding of protection trade-offs, including false positives, impact on honest users, and cost.

Nice to have

  • Experience in anti-fraud, trust and safety, risk, or abuse prevention.
  • Experience with anomaly detection, graph analysis, or behavioral modeling.
  • Experience applying LLMs to analytical or classification tasks.
  • Experience with Databricks.
  • Experience with crowdsourcing or data annotation platforms.
  • ClickHouse experience.

Culture & Benefits

  • Remote or hybrid employment with a flexible workday designed with the manager.
  • Competitive compensation package including base salary, bonus, and ESOP.
  • Paid PTO and location-dependent benefits.
  • IT setup and home-office allowances.
  • Professional development support and encouragement to implement project ideas.
  • International, globally distributed environment.

Hiring process

  • Legitimate recruiting communication comes only from an official hirify.global.ai email address.
  • No bank details, credit card information, or fees are requested during the application or interview process.
  • Suspicious postings or contacts should be reported to security@hirify.global.ai and LinkedIn.

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