Senior Machine Learning Engineer, Revenue Management

Sixt — Portugal · Posted ~2 hours ago

Senior Full-time Onsite Visa History ✓

Skills

Machine learning engineering Production ML systems System design and architecture Feature engineering Model serving Model training Model retraining Offline model evaluation Shadow testing Champion/challenger testing Rollback strategies Automated quality checks Collaboration with data scientists Machine learning ML platforms Feature pipelines Model evaluation Automated testing

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Summary ✨ AI‑Generated

Join an engineering team building production-grade machine learning systems for pricing, demand forecasting, and large-scale operational decision-making. You will work with data scientists from initial design through production, own system architecture, establish reliable feature and prediction pipelines, and implement safe evaluation, deployment, monitoring, and rollback practices while helping shape a growing ML platform.

Highlights

Build and productionize machine learning systems for pricing and demand forecasting, work closely with data scientists, own ML architecture, and help shape an evolving machine learning platform.

Description

Job DescriptionMachine Learning Engineering at SIXT turns models into systems that decide prices, forecast demand, and steer a fleet of hundreds of thousands of vehicles, millions of times a day. You build these systems with our Data Scientists, run them in production, and shape the ML platform while it is still being built. The numbers you move are real. Transform the way the world moves, because people expect better. Join Team Orange in Lisbon. YOUR ROLE AT SIXT You build ML systems together with Data Scientists, from the first design session to the validated outcome in production. One team, one goal. 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. YOUR SKILLS MATTER 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. You review outcomes, not keystrokes, and want to shape how a team works this way. Platform Containers, orchestration, CI/CD, and model registries are daily tools. You have worked hands on in a major cloud platform, ideally AWS. Infrastructure as code is a plus. 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. WHAT WE OFFER A Global Tech Hub in Lisbon Join a thriving international tech community and work alongside engineers, product experts, and business teams who turn ideas into real impact. Our hubs at Factory Lisboa in Beato and ARTs Lisboa in Parque das Nações are where great tech gets built Learning & Knowledge Exchange Level up through regular events with internal and external speakers. We value curiosity, continuous learning, and open exchange – across teams, disciplines, and borders Flexible Work Setup Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration – work the way that brings out your best Time Off & Wellbeing 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 Practical Everyday Benefits Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier SIXT Perks Get exclusive rates on all SIXT services, with special discounts extended to your family and friends. Because great perks are even better when you can share them