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This listing was closed on Aug 25, 2026.
Browse Open JobsSENIOR MACHINE LEARNING / MLOPS ENGINEER (REMOTE OPPORTUNITY)
Summary by AIEngineer.careers
SENIOR MACHINE LEARNING / MLOPS ENGINEER (REMOTE OPPORTUNITY) is a MLOps Engineer role (full-time). with Hyatt. in REMOTE, WORLDWIDE. Compensation shown: $133K–$173K. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
REMOTE · WORLDWIDE
$133K–$173K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from flexgen.zya.me
Hyatt seeks a Senior Machine Learning / MLOps Engineer to design, build, and operate scalable AI services in production. This role focuses on translating ML models into reliable systems through MLOps automation and performance optimization.
Responsibilities
- Design and implement end-to-end ML systems including data ingestion, feature processing, model training, and serving
- Architect and deploy scalable AI services for real-time and batch inference
- Build and maintain ML infrastructure across cloud environments (EC2, EKS, SageMaker)
- Develop MLOps platforms including training pipelines, deployment workflows, feature stores, and model observability
- Implement CI/CD and infrastructure-as-code for model lifecycle automation
- Optimize training and inference performance for cost and latency
- Monitor production ML systems for accuracy and reliability
- Partner with data engineering, governance, and security teams
Requirements
- Master's degree in Computer Science, Software Engineering, Machine Learning, or related field
- 5+ years experience building and operating ML solutions in cloud environments
H
Hyatt
Chicago · US · 64863+ employees
Hyatt Hotels Corporation is a global hospitality company engaged in the management, franchising, and ownership of hotels, resorts, and vacation properties. The company operates a diverse portfolio of brands catering to business and leisure travelers worldwide.
