Machine learning engineer in revenue management

Sixt; Lisboa; In loco; EUR 60.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

28 vacation days

Birthday off

Volunteer day

Private health insurance for family

Coverflex allowance

Daily meal allowance

Employee discounts for SIXT services

Descrizione del lavoro

SIXT is seeking a Machine Learning Engineer in Lisbon to turn models into scalable systems. You will partner with Data Scientists to productionize models, shape the ML platform, and support end-to-end lifecycle from design to deployment.

You will own feature computation, serving, training, and retraining workflows, while ensuring safe, scalable operation and cross-team collaboration in English.

Competenze

• Shipped and operated ML systems in production for 3+ years.
• Fluent in Python, SQL and one of Go or Java; able to read and debug production code.
• Design clean contracts between data, model and consumers; consider latency and cost.

Mansioni

• Build ML systems with Data Scientists from design to production.
• Own design/architecture for feature computation and serving.
• Manage model lifecycle: offline eval, shadow runs, champion/challenger, rollback.
• Ensure reliable shipping and production quality; define health checks and alerts.
• Bridge to MLOps, drive platform standards, and improve tooling for future use cases.
• Collaborate with Data Science, Product and Engineering, communicating in English.

Conoscenze

ML production experience

Python

SQL

Go/Java

English fluency

Strumenti

AWS

CI/CD

Model registries

Containers/Kubernetes

Descrizione del lavoro

Описание

Machine 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.

Задачи

• 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

Требования

• 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. You review outcomes, not keystrokes, and want to shape how a team works this way
• 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.
• Будет плюсом: Infrastructure as code is a plus

Условия

• 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 Level up through regular events with internal and external speakers.
• We value curiosity, continuous learning, and open exchange - across teams, disciplines, and borders
• 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
• 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.
• Because great perks are even better when you can share them