What you'll do

• Support model deployment and serving, help bring pricing and demand models into production, build and maintain APIs and serving infrastructure
• Build and operate production pipelines, ensuring data flows are reliable from source to model to output with proper monitoring and alerting
• Collaborate cross-functionally with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions
• Own infrastructure and tooling, set up and maintain environments, CI/CD pipelines, and the infrastructure the team depends on
• Ensure operational excellence through monitoring, automated testing, and observability across production systems
• Migrate and productionize POCs: turn experimental code into robust, maintainable Python applications
• Maintain data quality, consistency, and documentation across revenue management metrics and datasets

What you bring

• years of experience in Software Engineering, Data Engineering, DevOps, or MLOps
• Strong Python skills: you write clean, production-quality code
• Hands-on experience with CI/CD, Docker, and infrastructure-as-code (Terraform or similar)
• Familiarity with cloud platforms (AWS preferred) and deploying services in production
• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus
• Curiosity about cutting-edge LLM tools and agents to boost productivity
• A proactive, ownership-driven mindset: you spot problems and drive solutions forward

What's in it for you

• Impact: work on products used by millions, where data drives decisions and your contributions are visible
• Growth: a culture built on curiosity and feedback, with personal learning budgets and a strong AI focus
• Great people: smart, international colleagues who challenge and support each other in equal measure
• Tech environment: scale-up pace with a proven business model; you build, test, and iterate continuously
• Flexibility: hybrid setup (50% in-office), plus up to 8 weeks/year working from other locations
• Perks: travel benefits, gym discounts, and regular team events across nearly 30 offices
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