Machine Learning Engineering Manager (m/f/d) at SIXT

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Machine Learning, Software Engineering, MLOps, Cloud Expertise, AWS, Technical Strategy, Architecture, Communication Skills, Collaboration, Mentoring, Innovation, Continuous Improvement, Production ML Deployment, Technical Credibility

Industry

Travel Arrangements

Description

Company Description Job Description Our vision is: Transform the world moves, because people expect better. Join our Data Science organization and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms and building highly scaling algorithms. Apply now and be part of our journey. YOUR ROLE AT SIXT You will lead and scale our Machine Learning Engineering team that partners with data scientists to transform models into production-grade ML applications on our central MLOps platform You will shape ML Engineering standards by establishing best practices, design patterns, and quality benchmarks that enable data scientists to build scalable, maintainable ML solutions You will drive technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with business objectives and communicating system designs to tech leadership You will bridge platform and practice by translating MLOps platform capabilities into practical guidance for data science teams, while channeling ML engineering requirements back to the MLOps platform team You will foster collaboration and excellence by building strong relationships across cross-functional teams, mentoring engineers, and creating a culture of innovation and continuous improvement YOUR SKILLS MATTER Proven leadership experience with 3+ years managing machine learning or software engineering teams, ideally across multiple locations, with a track record of building high-performing teams Strategic technical vision with experience leading complex, multi-stakeholder ML/data science initiatives from concept to production Deep ML and cloud expertise including hands-on experience with machine learning frameworks, MLOps practices, and AWS cloud services Production ML deployment experience with real-world examples of deploying and maintaining large-scale ML systems in production environments Bridge-builder mindset with exceptional communication skills, ability to translate between technical and business stakeholders, and talent for building consensus across diverse teams Hands-on technical credibility with the ability to review architectures, guide technical decisions, and occasionally contribute to critical implementations WHAT WE OFFER Generous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year Work-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress code Great Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts Training & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development Health & Well-being Private health insurance to support your well-being Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience Additional Information About us: We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!

Responsibilities

Lead and scale the Machine Learning Engineering team to transform models into production-grade ML applications. Establish ML Engineering standards and drive technical strategy across data science and engineering teams.