[Remote] Senior Machine Learning / MLOps Engineer (Remote Opportunity)

Note: The job is a remote job and is open to candidates in USA. 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.ResponsibilitiesDesign and implement end-to-end ML systems, including data ingestion, feature processing, model training, and model servingArchitect and deploy scalable AI services supporting real-time and batch inference use casesBuild 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 observabilityImplement CI/CD and infrastructure-as-code patterns to automate model lifecycle managementOptimize model training and inference performance for cost, latency, and hardware efficiencyMonitor production ML systems for accuracy, reliability, and operational healthPartner cross-functionally with data engineering, architecture, governance, and security teams to ensure compliant and scalable solutionsMentor team members on ML engineering, system design, and operational best practicesContribute to special initiatives that advance AI platform maturity and engineering standardsSkillsMaster's degree in Computer Science, Software Engineering, Machine Learning, or a related field5+ years of experience building and operating machine learning solutions in cloud environments, with focus on AI services and MLOps foundationsDemonstrated hands-on experience delivering end-to-end ML systems, spanning model development, deployment, and production infrastructureProficiency with modern ML engineering tooling, including cloud platforms, data pipelines, and CI/CD workflowsExperience designing and scaling real-time and batch inference systems in productionHands-on experience with deep learning frameworks and model optimization for performance and costExperience building or contributing to shared MLOps platforms, feature stores, or ML observability solutionsFamiliarity with cloud security, governance, and compliance standardsBenefitsAnnual allotment of free hotel stays at Hyatt hotels globallyFlexible work scheduleWork-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness centerA global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoptionPaid Time Off, Medical, Dental, Vision, 401K with company matchCompany OverviewHyatt is a global hospitality company with widely recognized, industry leading brands and a tradition of innovation. It was founded in 1957, and is headquartered in Chicago, Illinois, USA, with a workforce of 10001+ employees. Its website is http://www.hyatt.com/.Company H1B SponsorshipHyatt has a track record of offering H1B sponsorships, with 8 in 2026, 44 in 2025, 22 in 2024, 24 in 2023, 40 in 2022, 21 in 2021, 16 in 2020. Please note that this does not guarantee sponsorship for this specific role.