Senior ML Engineer: Scale Real-Time AI with MLOps

Hyatt Hotels Corporation; Chicago (IL); Remote; USD 150,000 - 180,000; Full time

Benefits offered by this job

Annual free hotel stays

Flexible work schedule

Headspace subscription for wellbeing

Wellbeing initiatives

Discount at on-site fitness center

Job summary

Hyatt Hotels Corporation in Chicago is seeking a Senior ML Engineer to join our Data Science and Machine Learning team. You will design, build, and operate scalable AI services and production-grade ML systems across cloud environments with a strong emphasis on MLOps, observability, and reliability.

You will collaborate with data engineering, platform teams, governance, and security to deliver compliant, scalable solutions and help Hyatt stay at the forefront of hospitality technology.

Qualifications

• 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.

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 (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.

Skills

Cloud platforms

CI/CD pipelines

MLOps

Model deployment

Production ML systems

Education

Master's degree in Computer Science, Software Engineering, Machine Learning, or a related field

Tools

SageMaker

EC2

EKS

CI/CD tooling

Job description

Hyatt Hotels Corporation in Chicago is seeking a Senior ML Engineer to join our Data Science and Machine Learning team. You will design, build, and operate scalable AI services and production-grade ML systems across cloud environments with a strong emphasis on MLOps, observability, and reliability.

You will collaborate with data engineering, platform teams, governance, and security to deliver compliant, scalable solutions and help Hyatt stay at the forefront of hospitality technology.