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2 дня назад

Lead Data Scientist (AI)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Chile/Mexico/Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Scientist (AI): Defining technical direction and leading the delivery of advanced Generative AI and agentic solutions with an accent on multi-agent systems and large-scale NLP pipelines. Focus on designing autonomous decision-making patterns, scaling prototypes to production, and shaping AI strategies for global clients.

Location: Remote or Office in Mexico, Colombia, or Chile

Company

hirify.global is a global engineering and technology company with a dedicated AI and Data Science Center of Excellence comprising over 170 experts.

What you will do

  • Define and drive the technical vision for AI initiatives using generative AI and agentic frameworks.
  • Design and implement multi-agent systems using LangGraph, CrewAI, or similar frameworks to enable autonomous problem-solving.
  • Shape AI strategies for clients and translate complex technical concepts into production-ready solutions.
  • Deploy production-ready AI/ML solutions on major cloud platforms in collaboration with MLOps and DevOps teams.
  • Optimize end-to-end AI development processes, including data pipelines, LLMOps, and continuous monitoring.
  • Mentor Data Scientists and ML Engineers, embedding best practices in Generative AI and engineering excellence.

Requirements

  • Master’s or Ph.D. degree in Computer Science or a related field.
  • Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow.
  • Strong knowledge of Generative AI, NLP, transformer models, and LLMs (GPT-4, Claude, Gemini).
  • Experience with agentic AI frameworks such as LangGraph or CrewAI.
  • Proven track record of deploying production-scale AI/ML solutions to major cloud providers.
  • English: Upper-intermediate or higher proficiency required.
  • Location: Must be based in Mexico, Colombia, or Chile.

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