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23 дня назад

Senior Manager, Data Science & AI (Google Cloud)

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

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TL;DR

Senior Manager, Data Science & AI (Google Cloud): Leading a distributed team to build and deploy production-grade ML models and AI agents with an accent on BigQuery, Vertex AI, and LLM orchestration. Focus on driving business productivity through applied AI, MLOps excellence, and translating complex business problems into scalable data solutions.

Location: Must be based in Cork, Ireland

Company

hirify.global is a people-first software company dedicated to providing simple, powerful, and secure solutions to accelerate business transformation.

What you will do

  • Lead and mentor a high-performing, distributed team of Data Scientists across US and EMEA regions.
  • Define and execute the AI strategy, integrating LLMs, GenAI, and classical ML into core business functions.
  • Design and deploy agentic workflows and AI copilots for automated decision-making and KPI monitoring.
  • Own the end-to-end lifecycle of predictive models, ensuring robust MLOps and integration into production workflows.
  • Partner with Data Engineering, IT, and business leaders to prioritize high-impact AI use cases.
  • Evangelize AI solutions to executive stakeholders, translating technical trade-offs into clear business value.

Requirements

  • 8+ years of experience in Data Science/Machine Learning, including 3+ years in a formal leadership role.
  • Significant, recent experience with Google Cloud Platform (BigQuery, Vertex AI, BigQuery ML) is required.
  • Proven track record of delivering production-grade AI solutions that drive measurable business outcomes.
  • Strong proficiency in Python and SQL, with practical knowledge of MLOps patterns and CI/CD.
  • Deep expertise in LLM orchestration, RAG architectures, and fine-tuning foundation models.
  • Ability to thrive in a fast-paced environment and drive a data-informed culture.

Nice to have

  • Master’s or PhD in a quantitative field (CS, Statistics, Mathematics, Physics, Engineering).
  • Experience with dbt and semantic layer modeling.
  • Familiarity with Glean or similar enterprise search/AI tools.

Culture & Benefits

  • People-first culture focused on collaboration, empathy, and accountability.
  • Opportunity to shape enterprise AI strategy within a global organization.
  • Commitment to professional growth and team-based success.
  • Fast-paced environment with a bias for shipping and high-velocity experimentation.

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