The Opportunity Hyatt Hotels Corporation seeks an enthusiastic Senior ML Engineer to join our Data Science and Machine Learning department. In this role, you will be collaborating closely with the broader Data and Analytics team, where you'll be instrumental in continuing to make Hyatt a leading hospitality company. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.
The Role The Machine Learning Engineer partners with data science, data engineering, and platform teams to design, build, and operate scalable AI services. This role is responsible for translating machine learning models into reliable, production-grade systems through strong infrastructure design, MLOps automation, and performance optimization. The position also contributes to cross-functional initiatives that advance the organization's AI platform capabilities.
Responsibilities
- Design and implement end-to-end ML systems, including data ingestion, feature processing, model training, and model serving
- Architect and deploy scalable AI services supporting real-time and batch inference use cases
- Build and maintain ML infrastructure across cloud environments (e.g., EC2, EKS, SageMaker, specialized inference hardware)
- Develop and evolve MLOps platforms, including training pipelines, deployment workflows, feature stores, and model observability
- Implement CI/CD and infrastructure-as-code patterns to automate model lifecycle management
- Optimize model training and inference performance for cost, latency, and hardware efficiency
- Monitor production ML systems for accuracy, reliability, and operational health
- Partner cross-functionally with data engineering, architecture, governance, and security teams to ensure compliant and scalable solutions
- Mentor team members on ML engineering, system design, and operational best practices
- Contribute to special initiatives that advance AI platform maturity and engineering standards