Senior ML Engineer — Real-Time AI & MLOps Specialist

Carbon Data Solutions; United States; À distance; USD 120 000 - 160 000; Plein temps

Résumé du poste

Hyatt Hotels Corporation is seeking a Senior ML Engineer to join its Data Science and Machine Learning team in the United States. You will translate machine learning models into production-grade systems, collaborating with data science, data engineering, and platform teams across cloud environments to enable scalable AI services.

The role emphasizes MLOps, CI/CD, and infra automation to improve performance, cost efficiency, and reliability, while mentoring peers and driving AI platform maturity.

Qualifications

• Master’s degree required in CS, software engineering, ML, or related field.
• 5+ years of experience building and operating ML solutions in cloud environments, with focus on AI services and MLOps foundations.

Responsabilités

• 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.
• Monitor production ML systems for accuracy, reliability, and operational health.
• Partner cross-functional 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.

Formation

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

Description du poste

Hyatt Hotels Corporation is seeking a Senior ML Engineer to join its Data Science and Machine Learning team in the United States. You will translate machine learning models into production-grade systems, collaborating with data science, data engineering, and platform teams across cloud environments to enable scalable AI services.

The role emphasizes MLOps, CI/CD, and infra automation to improve performance, cost efficiency, and reliability, while mentoring peers and driving AI platform maturity.