Senior MLOps Engineer
Core
Building and implementing end-to-end machine learning features for revenue optimization in the hospitality industry, ensuring reliability and scalability of ML systems from development to production.
Role type
Senior MLOps Engineer
Builds
Production-ready ML systems and data pipelines for revenue management applications
Domain
Hospitality technology / Revenue management
Deliverable
production ML models
Required skills
MLOps practices, CI/CD for ML pipelines, data pipeline design, Apache Airflow, ML testing strategies, AWS deployment, Python, SQL
Preferred skills
CI/CD tooling for ML, data quality monitoring, Master's or PhD in CS/Data Science, AWS/MLFlow certifications
Technologies
AWS, MLFlow, Apache Airflow, Python, SQL
Responsibilities
Develop and implement end-to-end machine learning features for revenue optimization; Establish and maintain robust MLOps practices including CI/CD; Design, build, and maintain data and ML pipelines; Implement comprehensive software quality and testing processes; Design, train, and test ML models for pricing optimization; Implement model performance monitoring; Collaborate cross-functionally to define SLIs/SLOs; Conduct structured A/B testing
Seniority
Senior, hands-on IC
