Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer designing and operating scalable AI services for Hyatt's Data Science and Machine Learning department. Collaborating with teams to advance AI platform capabilities and infrastructure.
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 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
- Paid Time Off
- Medical
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