Senior ML Engineer
Hyatt
full-time
Posted on:
Location Type: Remote
Location: Mexico
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Job Level
About the role
- 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
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningMLOpsmodel trainingmodel servingdata ingestionfeature processingmodel optimizationCI/CDinfrastructure-as-codedeep learning
Soft skills
mentoringcross-functional collaborationsystem designoperational best practices
Certifications
Master's degree in Computer ScienceMaster's degree in Software EngineeringMaster's degree in Machine Learning