$ Not disclosed


At Hyatt, we’re working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.

In this role you will design and implement algorithmic product architectures to bring our machine learning models to life including data ingestion, ML processing, results delivery/activation and external interfaces. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations.

You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science. This role will sit directly within the Data Science organization.

Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn’t just a nice to have, it’s a must.

The Role

  • Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
  • Implement prototype solutions of algorithmic products leveraging appropriate AWS services with consideration for scale and latency where applicable.
  • Implement and productionize final solutions via infrastructure-as-code pattern.
  • Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
  • Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
  • Partner with 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 latest design patterns and AWS services with respect to Machine Learning Engineering.
  • Partner with data architecture, data governance, and security team to ensure solutions meet required standards.

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Published 2021-10-13

looks for a MACHINE LEARNING DATA ENGINEER in Chicago, IL location.

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The proposed salary for Data Engineer Jobs position at is Not disclosed.


According to the common industry standard, Data Engineer Jobs specialist is in charge for the following activities.

Required Data Engineer Jobs qualifications at

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