Senior Machine Learning/MLOps Engineer

Job Description: • Design and implement algorithmic product architectures across Personalization, Generative AI, Forecasting, and Decision Science domains • Build and maintain scalable inference systems for real-time and batch predictions • Deploy models across various compute environments (EC2, EKS, SageMaker, specialized inference chips) • Implement, evolve, and maintain our MLOps platform, technology, and processes • Create and maintain automated workflows for model training, evaluation, and deployment • Design, implement, and optimize machine learning models including deep learning architectures, LLMs, and specialized models • Enhance and maintain existing AI-services as needed to maximize impact of the algorithmic product • Monitor ML systems for performance, accuracy, latency, and cost optimization • Mentor team members on both modeling techniques and infrastructure best practices Requirements: • Master's degree in Computer Science, Software Engineering, Machine Learning, or related fields required • 5+ years of implementing AI solutions in a cloud environment with a focus on AI-services and MLOps foundations. Hospitality experience not required • 3+ years of hands-on experience with both ML model development and production infrastructure • Expertise in AWS cloud services (EC2, EKS, S3, SageMaker, Inferentia/Trainium), Terraform/CloudFormation, Docker, Kubernetes • Expertise in Python, SQL, PySpark, Apache Spark, Airflow, Kinesis, feature stores, model serving frameworks • Experience with streaming and batch data architectures at scale, DevOps and CI/CD concepts (GitHub Actions, CodePipeline), monitoring (CloudWatch, Prometheus, MLflow) • Experience operating in an Agile Methodology environment • Experience building end-to-end ML systems from research to production • Excellent communication and teamwork skills Benefits: • Annual allotment of free hotel stays at Hyatt hotels globally • Flexible work schedule and location • 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 Apply tot his job Apply To this Job