aipythongomachine learningpytorchscalasparksearch systemsrecommendation systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Отличный шанс поработать с высоконагруженными ML-системами в продуктовой компании с современным стеком и полным релокейтом в Лиссабон.
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Зарплата не указанаОфисный форматСовременный стекПомощь с релокациейПонятный scope
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior ML Engineer (E-commerce): Developing and optimizing machine learning models for search, recommendation, and marketing automation systems with an accent on high-load distributed architectures and data-driven product improvements. Focus on end-to-end ML development, from hypothesis formulation and model training to production deployment and performance monitoring.
Location: Must be based in or willing to relocate to Lisbon, Portugal (Hybrid role with 52 remote days per year).
Company
hirify.global is a global cross-border marketplace and tech-centric e-commerce group providing consumers access to unique goods worldwide.
What you will do
Improve core search algorithms and recommendation systems to enhance product relevance and user experience.
Develop and deploy machine learning models for marketing automation and internal communication tools.
Analyze raw data, formulate hypotheses, and conduct experiments to drive product metrics.
Build and maintain scalable, high-load distributed applications using Python, Go, and Scala.
Collaborate with international teams across Portugal, Brazil, Latvia, and China.
Requirements
Must be based in or willing to relocate to Lisbon, Portugal.
Strong algorithmic skills and experience with data structures.
Proficiency in at least one programming language with experience in high-load distributed systems.
Industry experience in ML, including modeling (GBDT, DNN, linear models) and end-to-end production deployment.
Knowledge of statistics and data analysis techniques.
Nice to have
Experience developing search or recommendation systems.
Experience training neural network models.
Familiarity with data stack tools: Spark, Cassandra, MongoDB, Kafka.
Knowledge of Go.
Culture & Benefits
Office-first environment with flexible hours and 52 remote days per year.
Comprehensive health insurance including dental care for employees and their children.
Full relocation assistance for employees and their families.
Daily meal allowance and 100% paid sick leave.
Opportunities for professional training and language courses (English & Portuguese).
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