Principal ML Engineer (MLOps)

TL;DR

Principal ML Engineer (MLOps): Building and implementing AI-powered features for revenue management and pricing optimization in the hospitality industry with an accent on system reliability, scalability, and production-grade MLOps. Focus on designing distributed ML systems, establishing rigorous testing processes, and optimizing revenue strategies for lodging customers.

Location: Remote (Must be based in Europe)

Company

hirify.global is a unified hospitality platform powering properties across 150 countries to transform operations and commercial strategy.

What you will do

• Design, deploy, and maintain production-grade, distributed ML systems.
• Develop features that empower lodging customers to make data-driven pricing decisions using heuristic data and advanced ML.
• Establish robust ML practices and rigorous testing processes across the entire ML lifecycle.
• Build and structure data pipelines to ensure the reliability and accuracy of revenue management insights.
• Collaborate with product and engineering teams to identify opportunities for improvement and drive revenue growth.
• Influence cross-functional teams and mentor junior talent on complex technical decisions.

Requirements

• 5+ years of experience in a machine learning role with a track record of deploying models to production.
• Expertise in designing ML testing strategies, including data validation, model correctness, and performance testing.
• Strong proficiency in Python, SQL, and experience deploying ML models at scale on AWS.
• Deep MLOps knowledge, including CI/CD, orchestration (Apache Airflow, Prefect, Dagster), and model monitoring/drift detection.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Must be based in Europe.

Nice to have

• Master’s or PhD in Computer Science, Mathematics, or a related field.
• Experience with CI/CD tooling (GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
• Experience with data quality monitoring tools and frameworks.

Culture & Benefits

• Remote-first work environment.
• Monthly Wellness Fridays for extended weekends.
• Full paid parental leave.
• Home office stipend based on country of residency.
• Professional development via hirify.global University and manager training.
• PTO in accordance with local labor requirements.