(Senior) Machine Learning Engineer, Revenue Management (m/f/d)

Machine Learning Engineering at SIXT turns models into systems that decide prices, forecast demand, and steer a fleet of vehicles. You build these systems with Data Scientists, run them in production, and shape the ML platform while it is still being built in the Team Orange in Lisbon.

• You build ML systems together with Data Scientists, from the first design session to the validated outcome in production
• You own design and architecture: how features are computed once and served consistently, how predictions flow out, how training, serving, and retraining fit together
• You get models live safely - offline evaluation, shadow runs, champion/challenger, rollback. You run what you ship
• You make quality structural - you define what a healthy ML system looks like, encode it as automated checks and alerts, and root cause issues so they do not recur
• You are the bridge to MLOps - you bring the team's needs to the platform, bring platform standards back into the team, and co-own the templates and tooling that make the next use case faster
• You multiply the team - setting the engineering bar, design how coding agents execute the ML lifecycle from data preparation to deployment, and grow production practice together with Data Scientists

• Experience You have shipped and operated ML systems in production for 3+ years and know where they break: training/serving skew, leakage, drift, silent degradation
• Software Engineering You are fluent in Python, SQL and one more language such as Go or Java: you read, review, and debug production code with confidence, whatever agent wrote it
• ML Systems Design You design clean contracts between data, model, and consumers and reason about latency, cost, and failure
• ML Fundamentals You understand forecasting, regression, and optimization well enough to challenge a model design and to recognize a wrong model in production
• Software Factory You define acceptance criteria, orchestrate coding agents for implementation, QA, and security, and step in where they fall short
• Platform Containers, orchestration, CI/CD, and model registries are daily tools. You have worked hands on in a major cloud platform, ideally AWS
• Team Spirit You act as a partner to Data Science, Product and Engineering, not a ticket executor: you challenge unclear framing, explain trade offs in business terms, and communicate fluently in English across cultures

• Infrastructure as code is a plus

• A Global Tech Hub in Lisbon
• Learning & Knowledge Exchange Level up through regular events with internal and external speakers
• Flexible Work Setup Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration
• Enjoy 28 vacation days per year
• An additional day off on your birthday
• One volunteer day annually
• Private health insurance that also covers your spouse and children free of charge
• Yearly Coverflex allowance
• Daily meal allowance
• SIXT Perks Get exclusive rates on all SIXT services, with special discounts extended to your family and friends

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.