Senior ML Engineer (Hybrid opportunity)
Core
Design, build, and operate scalable AI services and production-grade ML systems for Hyatt's hospitality operations.
Role type
Senior ML Engineer (MLOps & Infrastructure)
Builds
Scalable AI services, real-time and batch inference systems, and MLOps platforms
Domain
Hospitality / Cloud Infrastructure / Machine Learning
Deliverable
production ML models
Required skills
End-to-end ML system design, MLOps automation, cloud infrastructure management, CI/CD implementation, model performance optimization, cross-functional collaboration
Preferred skills
Real-time and batch inference scaling, deep learning framework expertise, shared MLOps platform development, cloud security and governance
Technologies
EC2, EKS, SageMaker, specialized inference hardware
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; 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; Mentor team members on ML engineering, system design, and operational best practices
Seniority
Senior, hands-on IC
