(senior) machine learning engineer, revenue management (m/f/d)

Sobre a vaga

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

O que vais fazer

• 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. You set the engineering bar, design how coding agents execute the ML lifecycle from data preparation to deployment, and grow production practice together with Data Scientists.

O que é pedido

• You have shipped and operated ML systems in production for 3+ years and know where they break: training/serving skew, leakage, drift, silent degradation.
• 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.
• You design clean contracts between data, model, and consumers and reason about latency, cost, and failure.
• You understand forecasting, regression, and optimization well enough to challenge a model design and to recognize a wrong model in production.
• You define acceptance criteria, orchestrate coding agents for implementation, QA, and security, and step in where they fall short.
• Containers, orchestration, CI/CD, and model registries are daily tools. You have worked hands on in a major cloud platform, ideally AWS.
• 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.

Valorizado

• Infrastructure as code is a plus.

O que é oferecido

• Level up through regular events with internal and external speakers.
• 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, and private health insurance that also covers your spouse and children free of charge.
• Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier.
• Get exclusive rates on all SIXT services, with special discounts extended to your family and friends.

Processo de entrevista

Após recebermos a tua candidatura, enviaremos uma confirmação por e-mail. A nossa equipa de recrutamento, em coordenação com o departamento em questão, fará uma pré-seleção dos candidatos.

Na fase final, serás convidado para um Meet & Greet nas nossas instalações ou para um dia de estágio, onde poderás conhecer a tua futura equipa e o dia-a-dia do cargo.