Machine Learning Engineer

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 client's 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 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: Masters degree in computer science, software engineering, or related fields required