Jobs → Engineering → ML Engineer

About the Role We are seeking a Senior Machine Learning Engineer to join a centralized AI Engineering team at Hyatt Hotels. This role involves designing, building, and supporting enterprise AI, machine learning, and generative AI solutions across the organization. Key Responsibilities • Design and architect end-to-end AI, machine learning, and generative AI solutions within AWS cloud environments. • Build and deploy real-time and batch inference applications using services such as SageMaker, ECS, API Gateway, and related cloud technologies. • Develop enterprise-grade generative AI and agentic AI applications leveraging Gemini, Vertex AI, LLMs, RAG architectures, and orchestration frameworks. • Design and implement scalable feature store solutions supporting both real-time and batch machine learning workflows. • Build and maintain CI/CD pipelines, infrastructure-as-code deployments, model serving frameworks, and automated operational processes. • Develop integration patterns connecting AI applications to enterprise systems, APIs, data platforms, and business workflows. • Implement monitoring, observability, model performance tracking, and SLA management for production AI systems. • Optimize AI applications for scalability, reliability, latency, cost, and overall production performance. • Collaborate with Data Scientists to operationalize machine learning models and accelerate production deployment. Requirements • 5+ years of experience in Machine Learning Engineering, AI Platform Engineering, Software Engineering, or Cloud Engineering. • Strong hands-on AWS experience including SageMaker, ECS, API Gateway, IAM. • Experience building and supporting real-time inference systems and distributed cloud applications. • Experience building CI/CD pipelines, containerized applications, and infrastructure automation. • Experience with feature stores, streaming data architectures, and machine learning operationalization. • Experience supporting production environments through monitoring, observability, troubleshooting, and performance optimization. • Strong communication skills with the ability to work across engineering, product, and data science teams.