Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-позиция в крупной продуктовой компании с ответственностью за решения в области безопасности и борьбы с мошенничеством; широкий охват ML, данных и разработки выглядит требовательным, но соответствует роли.
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Широкий охватАктуальные технологииЗащита платформы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Machine Learning Engineer (Trust Platform): Solving fraud, abuse, account integrity, and platform-safety problems by building data pipelines, machine-learning solutions, and real-time risk decisioning systems with an accent on scalable production engineering, statistical evaluation, and adversarial risk analysis. Focus on designing experiments, monitoring false positives and model drift, integrating batch and streaming workflows, and adapting systems as attack patterns evolve.
Location: Singapore, Singapore
Company
hirify.global is Southeast Asia's leading superapp, providing food delivery, financial services, and transportation services while using technology and AI to support economic empowerment across Southeast Asia.
What you will do
Investigate fraud, abuse, account integrity, and platform-safety problems using data and domain knowledge.
Define success metrics while balancing detection quality, user experience, latency, and operational cost.
Choose between machine learning, heuristics, rules, graph techniques, optimisation, and system changes to solve trust problems.
Build data pipelines and features from high-volume batch and streaming data, and develop proof-of-concept solutions against realistic baselines.
Convert successful prototypes into scalable, tested, observable production systems integrated with real-time risk decisioning and offline detection workflows.
Design experiments and monitoring, perform root-cause analysis, and improve technical foundations as adversarial behaviour evolves.
Requirements
At least 4 years of relevant experience in software development and problem solving.
Proficiency in SQL and at least one production programming language.
Working knowledge of machine learning and statistical evaluation.
Experience using data to solve open-ended product or operational problems.
Experience building production data pipelines, backend services, or decision systems.
Ability to articulate technical reasoning, assumptions, trade-offs, and experimental results.
Comfort operating across modelling, data engineering, and software engineering boundaries.
Culture & Benefits
Work within a technology- and AI-focused environment serving Southeast Asia.
Purpose, continuous improvement, and economic empowerment are emphasized.
Workplace values include heart, hunger, honour, and humility.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →