Job
- Level
- Lead
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Pullach im Isartal
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead a Machine Learning Engineering team, develop standards and best practices for the MLOps platform, and coordinate technical strategies in collaboration with other teams.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more.
- We support you with a monthly mobility allowance of €20 per month for even more freedom.
- We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered.
- Bleiben Sie aktiv mit unserem modernen SIXT-Fitnessstudio, verschiedenen Freizeitaktivitäten wie dem Gaming-Bereich oder dem SIXT-Chor, und genießen Sie unser hochwertiges Mitarbeitermenü.
- Enjoy 30 days of vacation and a hybrid working model with flexible hours.
- Take one day each year to volunteer at a charitable organization dedicated to supporting children.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
More net
Topics that you deal with on the job
Job Locations
This is your employer
SIXT SE
Pullach, Stuttgart
Mobility means freedom. The freedom to experience the world and share it with others. That's why we, the SIXT family with more than 6,000 employees worldwide, question the status quo every day and work tirelessly to create a future where people all over the world have access to safe, efficient, and comfortable mobility at the push of a button.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Logistics, Transportation
Engineering Manager Machine Learning
- Location
- Pullach im Isartal
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required