обновлено 9 дней назад
Manager Data Science (AI)
238 100 - 442 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager Data Science (AI): Leading AI and data science strategy and teams building scalable knowledge-discovery systems across machine learning, NLP, search, recommendation, and generative AI with an accent on LLMs, RAG, semantic search, and production delivery. Focus on defining evaluation frameworks, developing technical talent, and aligning complex AI roadmaps with product goals, customer needs, and measurable business outcomes.
Location: Mexico City, Mexico
Salary: $238,100–$442,200 annual base pay; geographic differentials may apply.
Company
is a global information and analytics company supporting scientific research, health education, healthcare, and clinical practice.
What you will do
- Set AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI.
- Lead, coach, and develop high-performing technical teams while setting priorities and maintaining scientific rigor.
- Deliver AI and knowledge-discovery systems from experimentation through 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 teams around customer and business impact.
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 product, platform, or research environments.
- Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.
- Strong people leadership, prioritization, communication, 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 offered.
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