Senior Machine Learning, MLOps Engineer

🕒 April 29

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $133.2k - $173k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hyatt

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

🛒 Retail

B2C • Retail • Hospitality

Hyatt is a global hospitality company that operates a range of hotels, resorts, and vacation properties. Known for its commitment to providing exceptional guest experiences, Hyatt offers various accommodation options, from luxury to more affordable stays. The company also focuses on sustainability and community engagement, ensuring responsible business practices in the hospitality sector.

📋 Description

• 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

• 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

• 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