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24 дня назад

Senior Data Scientist (Recommendation Systems)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Uruguay
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Recommendation Systems): Developing and optimizing recommendation systems and machine learning solutions for real-world business applications with an accent on personalization, relevance, MLOps, and productionization. Focus on integrating LLM-based capabilities, deploying and monitoring models with cloud technologies, and solving complex data and modeling challenges at scale.

Location: Montevideo, Uruguay

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

  • Design, develop, and optimize machine learning models and recommendation systems for real-world business applications.
  • Build recommendation solutions focused on relevance, personalization, and measurable business impact.
  • Use Python and SQL to explore large datasets, develop features, train models, and evaluate results.
  • Integrate LLM-based capabilities and services into machine learning solutions when appropriate.
  • Take solutions from experimentation and prototyping through production, including deployment, monitoring, maintenance, and continuous improvement.
  • Collaborate with data scientists, data engineers, software engineers, and other stakeholders to deliver scalable, production-ready solutions.

Requirements

  • Proven experience as a data scientist developing machine learning solutions.
  • Strong knowledge of recommendation systems and related modeling approaches.
  • Strong programming skills in Python and SQL, including experience working with data at scale.
  • Hands-on experience taking machine learning models and solutions into production, with a solid understanding of MLOps.
  • Experience with cloud technologies, Docker, Kubernetes, and integrating LLM-based services.
  • Advanced English proficiency is required for clear communication in a professional environment.

Culture & Benefits

  • Flexible working options.
  • Access to AWS, Databricks, Snowflake, AI, and other learning paths, courses, and certifications.
  • Udemy Business access and English lessons.
  • Career development plans and mentorship programs.
  • Company-provided equipment and rewards for personal milestones.
  • Benefits may vary according to the employee's location in LATAM.

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