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At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. As we continue to grow, we never lose sight of what’s most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers.
Responsibilities
- Partner with data scientists to design AI services and architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.




- Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
- Implement and productionize final solutions via infrastructure-as-code pattern.
- Implement, evolve, and maintain our MLOps platform, technology, and processes, including but not limited to Feature Store, ML Observability, ML Governance, Training and Deployment pipelines, etc.
- Enhance and maintain existing AI services as needed to maximize the impact of the algorithmic product.
- Partner with the data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
- Stay up to date with the latest AI and MLOps design patterns as well as AWS services with respect to Machine Learning Engineering.
- Partner with data architecture, data governance, and security teams to ensure solutions meet required standards.

Qualifications
- Master’s degree in comput

📌 Senior ML Engineer, Generative AI (Estado de México)
🏢 Hyatt
📍 Estado de México