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Senior Machine Learning Engineer
1 month ago
About the Role
Hyatt is seeking an exceptional Machine Learning Engineer to join our team. As a key member of our data science team, you will design and implement algorithmic product architectures across Personalization, Generative AI, Forecasting, and Decision Science domains.
You will work closely with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with consideration for scale and latency. Your expertise in MLOps foundations, including Feature Store, ML Observability, ML Governance, Training and Deployment pipelines, will be crucial in implementing and productionizing final solutions via infrastructure-as-code pattern.
As a collaborative team player, you will partner with data engineering teams to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact. Your excellent communication and teamwork skills will be essential in guiding the team toward best-in-class MLOps platform and algorithmic product implementations.
What We Offer
Hyatt offers a dynamic and inclusive work environment, with opportunities for growth and development. Our team is passionate about diversity, equity, and inclusion, and we are committed to nurturing curiosity and new skills. We offer a comprehensive benefits package, including annual allotment of free hotel stays at Hyatt hotels globally, flexible work schedules, and work-life benefits.
Requirements
- 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
- 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