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3 дня назад

Manager Data Science (AI)

238 100 - 442 200$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager Data Science (AI): Leading AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI to deliver scalable knowledge-discovery systems with an accent on LLMs, RAG, semantic search, and production AI. Focus on developing technical teams, establishing evaluation and responsible AI frameworks, and aligning complex AI roadmaps with product and customer outcomes.

Location: Hybrid role in Mexico City (Reforma), combining regular in-person collaboration with remote flexibility.

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

Company

hirify.global is a global information and analytics company supporting scientific research, health education, healthcare, and clinical practice through quality content, data, and technology.

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 AI and knowledge-discovery systems across the full lifecycle, from experimentation to production, including LLMs, RAG, search, and domain-enriched AI solutions.
  • Establish evaluation frameworks, quality metrics, experimentation practices, and responsible AI standards.
  • Partner with product, technology, and business leaders to shape roadmaps and connect technical insights to 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 experience leading and developing technical teams in complex product, platform, or research environments.
  • Experience working with large datasets and building scalable, maintainable, production-ready AI/ML systems.
  • Strong people leadership, prioritization, communication, and stakeholder management skills.

Culture & Benefits

  • Flexible hybrid work model with flexible working hours.
  • Private medical, dental, and vision coverage for employees and eligible dependents.
  • Savings fund with company matching, life insurance, grocery voucher, vacation bonus, and medical expense discount card.
  • Learning and development resources, employee assistance support, sabbaticals, and shared parental leave.
  • Service milestone awards and paid time off to support charitable causes.

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