Director, Machine Learning Engineering/MLOps

Hyatt - Chicago, IL

Full-time - Senior

Chicago, IL

Accommodation

About the position

The Director of Machine Learning Engineering/MLOps at Hyatt is responsible for leading a growing ML platform and MLE team that supports various data science products aimed at enhancing guest experiences and operational efficiencies. This role involves hands-on leadership in developing algorithmic assets and features, mentoring team members, and fostering a culture of innovation and collaboration within a highly visible and passionate team.

Responsibilities

• Own and refine the ML Platform supporting operational AI services and core ML infrastructure.
• Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation.
• Hire, onboard, and retain top talent for the team while fostering a culture of innovation, collaboration, and excellence.
• Foster a culture of quality through code reviews, design discussions, and best-practice implementation.
• Design and implement tools that streamline the entire ML workflow for rapid development and deployment of impactful ML solutions.
• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact.
• Implement prototype solutions of algorithmic products leveraging appropriate AWS services with consideration for scale and latency.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance the Feature Store with impactful data including data cleansing/imputation logic.
• Enhance existing algorithmic product architecture/workflow as needed to maximize impact.
• Partner with the data engineering team to ensure data science data needs are delivered in the appropriate format/cadence.
• Stay up to date with the latest design patterns and AWS services related to Machine Learning Engineering.
• Partner with data architecture, governance, and security teams to ensure solutions meet required standards.

Requirements

• Master's degree in computer science, statistics, or related fields required; PhD preferred.
• 7+ years of data science experience with a focus on ML platform and AI service development, demonstrating measurable business impact.
• Expertise in Python, SQL, and Spark; additional software experience preferred (e.g., Docker).
• Expertise in a broad array of machine learning frameworks (e.g., Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet).
• Expertise in MLOps/LLMOps principles for the production of ML models (training, validation, deployment, monitoring).
• Experience managing multiple ML and AI services, including people management and hands-on implementation.
• Experience operating on AWS with large datasets.
• Experience with streaming data architectures.
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts.
• Excellent communication and teamwork skills.

Benefits

• Annual allotment of free hotel stays at Hyatt hotels globally
• Flexible work schedules
• Work-life benefits including well-being 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