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25 дней назад

Senior Machine Learning Engineer (Recommendation Systems)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (Recommendation Systems): Designing and maintaining production-grade recommendation and ranking systems for consumer-scale platforms with an accent on end-to-end ML pipeline ownership and performance optimization. Focus on building scalable retrieval models, conducting A/B testing, and ensuring low-latency inference in cloud environments.

Location: Remote (Global)

Company

hirify.global is a remote-first startup specializing in Big Data, custom AI solutions, and scalable machine learning infrastructure for retail and e-commerce.

What you will do

  • Design, build, and maintain production recommendation systems at consumer scale.
  • Develop ranking and retrieval models to enhance personalization and user experience.
  • Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
  • Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
  • Analyze large-scale user behavior data and execute A/B tests to optimize performance.
  • Improve the reliability, scalability, and latency of production ML systems on cloud platforms.

Requirements

  • 6+ years of experience in Software/Data Engineering or ML roles.
  • 4+ years building and operating ML systems in production.
  • 2-3+ years of experience with recommendation systems, ranking, or retrieval.
  • Strong proficiency in Python, SQL, and deep learning frameworks like PyTorch or TensorFlow.
  • Experience deploying ML systems on AWS, GCP, or Azure.
  • Advanced English proficiency and ability to work autonomously with stakeholders.

Nice to have

  • Experience in e-commerce, adtech, or martech domains.
  • Familiarity with feature stores, Spark, or low-latency inference systems.

Culture & Benefits

  • Remote-first culture with global flexibility.
  • Fully covered certifications for AWS, Google Cloud, Azure, and Databricks.
  • In-company English lessons.
  • Birthday off plus an extra vacation week (Mutt Week).
  • Monthly credits via Maslow benefits marketplace.
  • Annual team trip.

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