Senior Machine Learning / MLOps Engineer (Remote Opportunity)Hyatt Hotels and Resorts • United States
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Senior Machine Learning / MLOps Engineer (Remote Opportunity)
Hyatt Hotels and Resorts
- United States
- United States
About
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 (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 practice.
Contribute to special initiatives that advance AI platform maturity and engineering standards.
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, focusing on AI services and MLOps foundation.
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.
Experience designing and scaling real‑time and batch inference systems in production (preferred).
Hands‑on experience with deep learning frameworks and model optimization for performance and cost (preferred).
Experience building or contributing to shared MLOps platforms, feature stores, or ML observability solutions (preferred).
Familiarity with cloud security, governance, and compliance standards (preferred).
Benefits
Annual allotment of free hotel stays at Hyatt hotels globally.
Flexible work schedule.
Well‑being initiatives such as a complimentary Headspace subscription and discount at the on‑site fitness center.
Global family assistance policy with paid time off following the birth or adoption of a child and financial assistance for adoption.
Paid Time Off, Medical, Dental, Vision, 401(k) with company match.
Compensation Salary range: $133,200 – $173,000. Final pay rate will depend on experience, skill level, and other qualifications for the role, as well as the location of the performance of work. Pay will meet local minimum wage and other local requirements.
Other We value our relationships with recruitment partners. Agencies must contact us first before submitting candidates. Hyatt will not be responsible for any fees or obligations associated with unsolicited submissions unless a formal agreement is in place.
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Languages
- English
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