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At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. As we continue to grow, we never lose sight of what’s most important : People. We turn trips into journeys, encounters into experiences, and jobs into careers.
Responsibilities
- Partner with data scientists to design AI services and architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
- Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
- Implement and productionize final solutions via infrastructure-as-code pattern.
- Implement, evolve, and maintain our MLOps platform, technology, and processes, including but not limited to Feature Store, ML Observability, ML Governance, Training and Deployment pipelines, etc.
- Enhance and maintain existing AI services as needed to maximize the impact of the algorithmic product.
- Partner with the data engineering team to ensure data science data needs are being delivered in the appropriate format / cadence required for maximum impact.
- Stay up to date with the latest AI and MLOps design patterns as well as AWS services with respect to Machine Learning Engineering.
- Partner with data architecture, data governance, and security teams to ensure solutions meet required standards.
Qualifications
Master’s degree in computer science, software engineering, 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.Expertise in AWS cloud services.Expertise in Python, SQL, PySpark, Docker.Experience with streaming and batch data architectures at scale.Experience operating in an Agile Methodology environment.Experience with DevOps and CI / CD concepts.Excellent communication and teamwork skills.Position will not require customer-facing interactions.Compensation package
Annual allotment of free hotel stays at Hyatt hotels globally.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.Seniority level
Seniority level
Executive
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
Industries
Hospitality
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