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9 дней назад

Manager Data Science (AI)

238 100 - 442 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
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
Manager Data Science (AI) (AI, ML, NLP, search, and generative AI): Leading teams that build scalable knowledge-discovery and AI systems for education and electronic health record products with an accent on LLMs, RAG, semantic search, and production AI. Focus on defining data science strategy, establishing evaluation frameworks, developing technical talent, and aligning complex AI roadmaps with customer and business outcomes.

Location: Mexico City, Mexico

Salary: $238,100–$442,200 U.S. national base pay range per year; geographic differentials may apply.

Company

hirify.global provides information, analytics, data, and technology supporting scientific research, health education, and healthcare practice.

What you will do

  • Define AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI.
  • Lead and develop high-performing data science and AI teams through coaching, prioritization, scientific rigor, and inclusive collaboration.
  • Deliver knowledge-discovery and AI systems across the lifecycle from experimentation to production, including LLMs, RAG, search, and domain-enriched solutions.
  • Establish evaluation frameworks, metrics, experimentation practices, and responsible AI standards.
  • Partner with product, technology, and business leaders to shape roadmaps and align technical work with customer and business outcomes.

Requirements

  • Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field.
  • Strong expertise in machine learning, experimentation, deep learning, generative AI, and production AI systems.
  • Hands-on experience with LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.
  • Proven success leading and developing technical teams in complex product, platform, or research environments.
  • Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.
  • Strong people leadership, communication, prioritization, and stakeholder management skills.

Culture & Benefits

  • Values include trust, respect, collaboration, agility, and quality.
  • Flexible working hours support productivity and work-life balance.
  • Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals are available.
  • Country-specific benefits are provided.

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