Sr Machine Learning Engineer

must be Machine learning Engineer ./ not data Scientist

POSITION RESPONSIBILITIES:

• 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:

• 10+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, 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.

EDUCATION:
master's degree in computer science, software engineering, or related fields required