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Engineering Manager (m/f/d) - Machine Learning

Sixt SELisbon
Hybrid Full-time

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Experience Level

Manager

Qualifications

YOUR SKILLS MATTERProven leadership experience with over 3 years managing machine learning or software engineering teams across multiple locations, demonstrating a history of building high-performing teams. Strategic technical vision with a background in leading complex, multi-stakeholder ML/data science projects from concept to production. Deep expertise in ML and cloud technologies, including hands-on experience with machine learning frameworks, MLOps methodologies, and AWS cloud services. Experience in production ML deployment, showcasing real-world examples of implementing and maintaining large-scale ML systems in production settings. Bridge-builder mindset with exceptional communication skills, adept at translating technical details for business stakeholders and fostering consensus across diverse teams. Hands-on technical credibility to review system architectures, guide technical decisions, and occasionally contribute to vital implementations.

About the job

At Sixt, we aspire to revolutionize the way people move, meeting their expectations for a better experience. Become a part of our Data Science team and help us make impactful changes through advanced algorithms that enhance our business processes, including pricing. Join us on this exciting journey!

YOUR ROLE AT SIXT

  • Lead and expand our Machine Learning Engineering team, working closely with data scientists to convert models into production-ready ML applications on our central MLOps platform.

  • Establish ML Engineering standards by creating best practices, design patterns, and quality benchmarks that empower data scientists to develop scalable and maintainable ML solutions.

  • Drive the technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with our business goals while effectively communicating system designs to technical leadership.

  • Act as a bridge between platform capabilities and practical implementation, translating MLOps platform features into actionable guidance for data science teams and relaying ML engineering needs back to the MLOps platform team.

  • Promote collaboration and excellence by building strong relationships across cross-functional teams, mentoring engineers, and nurturing a culture of innovation and continuous improvement.

About Sixt SE

Sixt SE is a leading global mobility service provider, offering innovative solutions to meet the evolving needs of our customers. We leverage cutting-edge technology and data-driven strategies to enhance our services and drive operational efficiency.

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