Hyatt · 1 month ago
Senior Machine Learning / MLOps Engineer (Remote Opportunity)
United States
Full-time
Remote
Senior Level
$133K/yr - $173K/yr
5+ years expHyatt Hotels Corporation is seeking a Senior Machine Learning / MLOps Engineer to join their Data Science and Machine Learning department. This role involves collaborating with the Data and Analytics team to design, build, and operate scalable AI services while optimizing machine learning models for production environments.
HospitalityInformation TechnologyTravel
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
Qualification
Required
Master's degree in Computer Science, Software Engineering, Machine Learning, or a related field
5+ years of experience building and operating machine learning solutions in cloud environments, with focus on AI services and MLOps foundations
Demonstrated hands-on experience delivering end-to-end ML systems, spanning model development, deployment, and production infrastructure
Proficiency with modern ML engineering tooling, including cloud platforms, data pipelines, and CI/CD workflows
Preferred
Experience designing and scaling real-time and batch inference systems in production
Hands-on experience with deep learning frameworks and model optimization for performance and cost
Experience building or contributing to shared MLOps platforms, feature stores, or ML observability solutions
Familiarity with cloud security, governance, and compliance standards
Benefits
Annual allotment of free hotel stays at Hyatt hotels globally
Flexible work schedule
Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
Paid Time Off, Medical, Dental, Vision, 401K with company match
Company
Hyatt
Hyatt is a global hospitality company with widely recognized, industry leading brands and a tradition of innovation.
10001+ employees
H1B Sponsorship
Hyatt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
83%
Represents job field similar to this job
Engineering and Development
Product Management
Management and Executive
Accounting and Finance
Marketing
Sales
Trends of Total Sponsorships
*2026 (11)
2025 (44)
2024 (22)
2023 (24)
2022 (40)
2021 (21)
2020 (16)
Funding
Current Stage
Public CompanyTotal Funding
$2.45B2025-11-17Post Ipo Debt· $400M
2025-03-17Post Ipo Debt· $500M
2024-11-18Post Ipo Debt· $150M
Leadership Team
Dan Singer
Vice President, Global Franchise & Growth Program Management
David Udell
Executive Vice President and Group President, Asia Pacific
Recent News
2026-07-17
2026-07-16
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2026-07-16
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