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This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Machine Learning / MLOps Engineer
Summary by AIEngineer.careers
Senior Machine Learning / MLOps Engineer is a MLOps Engineer role (full-time). with Hyatt Corporate Office. in REMOTE, CHICAGO, US. Imported listing (source: glassdoor.com). Apply on the employer's site (glassdoor.com).
Imported listing (source: glassdoor.com) · Apply on glassdoor.com
REMOTE · CHICAGO · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from glassdoor.com
Hyatt Hotels Corporation is seeking a Senior ML Engineer to join its Data Science and Machine Learning department. The role involves designing and implementing end-to-end ML systems, deploying scalable AI services, and building MLOps infrastructure. The position collaborates with data science, data engineering, and platform teams to operationalize AI models in production.
Responsibilities
- Design and implement end-to-end ML systems including data ingestion, feature processing, model training, and serving
- Architect and deploy scalable AI services for real-time and batch inference
- Build and maintain ML infrastructure across cloud environments (EC2, EKS, SageMaker)
- Develop and evolve MLOps platforms with training pipelines, deployment workflows, feature stores, and model observability
- Implement CI/CD and infrastructure-as-code patterns for model lifecycle management
Requirements
- Strong experience in machine learning engineering and MLOps
- Proficiency with cloud ML platforms such as AWS SageMaker
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Knowledge of CI/CD pipelines and infrastructure-as-code
- Ability to work collaboratively in a cross-functional team
HC
Hyatt Corporate Office
Chicago · US · 96627+ employees
Hyatt Hotels Corporation is a global hospitality company that manages, franchises, and owns hotels, resorts, and vacation properties. They provide services under various brand names catering to both business and leisure travelers.
