Senior Machine Learning, MLOps Engineer

Hyatt

Senior ML Engineer collaborating with Data Science and Machine Learning teams at Hyatt. Designing and operating scalable AI services while nurturing a culture of care and belonging.

Posted 4/29/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $133,200 - $173,000 per yearWebsite

Tech Stack

Tools & technologies

CloudEC2

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningMLOpsmodel trainingmodel servingdata ingestionfeature processinginfrastructure-as-codeCI/CDmodel observabilityperformance optimization

Soft Skills

mentoringcross-functional collaborationsystem designoperational best practices

Certifications

Master’s degree in Computer ScienceMaster’s degree in Software EngineeringMaster’s degree in Machine Learning