Senior Machine Learning / MLOps Engineer
Hyatt
The role
Job description
Role Overview
Join Hyatt's Data Science and Machine Learning department as a Senior ML Engineer. Collaborate with the broader Data and Analytics team to continue making Hyatt a leading hospitality company. Be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization.
What You Will Do
Design and implement end-to-end ML systems, architect and deploy scalable AI services, build and maintain ML infrastructure, and develop and evolve MLOps platforms.
Why It Might Be a Fit
As a Senior ML Engineer, you will be responsible for translating machine learning models into reliable, production-grade systems through strong infrastructure design, MLOps automation, and performance optimization.
Requirements
- 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
- Demonstrated hands-on experience delivering end-to-end ML systems
- Proficiency with modern ML engineering tooling
Benefits
- Annual allotment of free hotel stays at Hyatt hotels globally
- Flexible work schedule
- Work-life benefits including wellbeing initiatives
- Paid Time Off, Medical, Dental, Vision, 401K with company match
- Global family assistance policy with paid time off following the birth or adoption of a child
Originally posted on Himalayas
Keep exploring
Related remote jobs
PointClickCare - (US)Senior Clinical Data AI Reviewer
PointClickCare
Machine LearningTechnical Architect - ML - GenAI
Quantiphi
Machine LearningAI Product Developer | FULL-TIME | WORK FROM HOME | US HOURS
Level 9 Virtual
Machine LearningLead AI Engineer
Tiger Analytics
Machine LearningAI Digital Product Sr Manager - AI Studio
Amgen
Machine Learning
Listing details
- Listed location
- United States
- Annual salary
- $133,200 – $173,000 / year
- Employment
- Full Time
- Published
- Jun 8, 2026
Listing trust
- Observed through
- Himalayas
- Listing last observed
- Jul 27, 2026
Work-from eligibility is based on normalized evidence in the listing: United States.
How verification and eligibility workReport this listing· Checking sign-in before opening the report form…