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1 день назад

AI Engineer

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Colombia/Brazil
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

AI Engineer (AI/ML): Building and enhancing AI capabilities for clinical trial operations with an accent on model architecture, LLM fine-tuning, and RAG integration. Focus on translating data-driven insights into scalable, high-performance systems while collaborating across cross-functional product and engineering teams.

Location: Must be based in Colombia or Brazil

Company

hirify.global is an innovative organization focused on building scalable AI systems for clinical trial operations.

What you will do

  • Design and develop AI solutions by defining model architecture and implementing optimal approaches.
  • Collaborate with product, UI, data science, and DevOps teams to deploy AI solutions.
  • Perform data analysis and preprocessing to ensure high-quality training datasets.
  • Maintain and monitor AI model performance and manage model retraining cycles.
  • Stay updated with the latest AI trends and frameworks to drive continuous system improvement.

Requirements

  • Location: Must be based in Colombia or Brazil.
  • 5–6 years of experience in Data Science, AI Engineering, or ML Engineering.
  • Advanced proficiency in Python and SQL.
  • Hands-on experience with ML model development, LLM fine-tuning, prompt engineering, and RAG.
  • Working knowledge of cloud platforms (AWS, Azure, or GCP).
  • Strong foundation in statistics, probability, linear algebra, and calculus.

Nice to have

  • Experience with Docker and Kubernetes for AI model deployment.
  • Familiarity with AIOps practices.
  • Knowledge of clinical trials or healthcare domains.

Culture & Benefits

  • Empowering culture where every voice is heard.
  • Collaborative environment focused on building and shaping organizational culture.
  • Opportunity to work on complex product challenges in the clinical trial domain.

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