Required Skills

Python SQL PySpark Docker

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 11th Dec 2023

JOB DETAIL

  • 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.
  • 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 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.
  • The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.

 

EXPERIENCE AND QUALIFICATIONS:

  • 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience preferred but 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.

 

Company Information