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Engineering Manager Machine Learning(m/w/x)
Leading and scaling ML engineering teams, transforming models into production applications for a global mobility platform. 3+ years leadership experience managing ML or software engineering teams required. 30 days vacation, flexible hours, attractive vehicle leasing offers.
Anforderungen
- Proven leadership experience (3+ years) managing ML or software engineering teams
- Track record of building high-performing teams
- Experience managing teams across multiple locations (ideally)
- Strategic technical vision
- Experience leading complex ML/data science initiatives
- Deep ML and cloud expertise
- Hands-on experience with machine learning frameworks
- Hands-on experience with MLOps practices
- Hands-on experience with AWS cloud services
- Production ML deployment experience
- Experience deploying and maintaining large-scale ML systems
- Bridge-builder mindset
- Exceptional communication skills
- Ability to translate between technical and business stakeholders
- Talent for building consensus across diverse teams
- Hands-on technical credibility
- Ability to review architectures
- Ability to guide technical decisions
- Ability to occasionally contribute to critical implementations
Aufgaben
- Lead and scale the ML Engineering team
- Partner with data scientists
- Transform models into production ML applications
- Shape ML Engineering standards
- Establish best practices and design patterns
- Define quality benchmarks
- Drive technical strategy and architecture
- Ensure alignment with business objectives
- Communicate system designs to tech leadership
- Translate MLOps capabilities into practical guidance
- Channel ML engineering requirements to the MLOps team
- Foster cross-functional collaboration
- Mentor engineers
- Cultivate a culture of innovation
- Drive continuous improvement
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning Frameworks
- MLOps
- AWS
Benefits
Mehr Urlaubstage
- 30 days vacation
Flexibles Arbeiten
- Hybrid working model
- Flexible hours
Mitarbeiterrabatte
- SIXT discounts
- Exclusive partner deals
Firmenwagen
- Attractive vehicle leasing offers
Sonstige Zulagen
- Monthly mobility allowance
- Capital-forming benefits
Betriebliche Altersvorsorge
- Retirement plan contribution
Gesundheits- & Fitnessangebote
- Modern SIXT gym
Sonstige Vorteile
- Gaming area
Team Events & Ausflüge
- SIXT choir
Gratis oder Vergünstigte Mahlzeiten
- High-quality employee restaurant
Gemeinnützige Ausrichtung
- Volunteer day
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Engineering Manager Machine Learning(m/w/x)
Leading and scaling ML engineering teams, transforming models into production applications for a global mobility platform. 3+ years leadership experience managing ML or software engineering teams required. 30 days vacation, flexible hours, attractive vehicle leasing offers.
Anforderungen
- Proven leadership experience (3+ years) managing ML or software engineering teams
- Track record of building high-performing teams
- Experience managing teams across multiple locations (ideally)
- Strategic technical vision
- Experience leading complex ML/data science initiatives
- Deep ML and cloud expertise
- Hands-on experience with machine learning frameworks
- Hands-on experience with MLOps practices
- Hands-on experience with AWS cloud services
- Production ML deployment experience
- Experience deploying and maintaining large-scale ML systems
- Bridge-builder mindset
- Exceptional communication skills
- Ability to translate between technical and business stakeholders
- Talent for building consensus across diverse teams
- Hands-on technical credibility
- Ability to review architectures
- Ability to guide technical decisions
- Ability to occasionally contribute to critical implementations
Aufgaben
- Lead and scale the ML Engineering team
- Partner with data scientists
- Transform models into production ML applications
- Shape ML Engineering standards
- Establish best practices and design patterns
- Define quality benchmarks
- Drive technical strategy and architecture
- Ensure alignment with business objectives
- Communicate system designs to tech leadership
- Translate MLOps capabilities into practical guidance
- Channel ML engineering requirements to the MLOps team
- Foster cross-functional collaboration
- Mentor engineers
- Cultivate a culture of innovation
- Drive continuous improvement
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning Frameworks
- MLOps
- AWS
Benefits
Mehr Urlaubstage
- 30 days vacation
Flexibles Arbeiten
- Hybrid working model
- Flexible hours
Mitarbeiterrabatte
- SIXT discounts
- Exclusive partner deals
Firmenwagen
- Attractive vehicle leasing offers
Sonstige Zulagen
- Monthly mobility allowance
- Capital-forming benefits
Betriebliche Altersvorsorge
- Retirement plan contribution
Gesundheits- & Fitnessangebote
- Modern SIXT gym
Sonstige Vorteile
- Gaming area
Team Events & Ausflüge
- SIXT choir
Gratis oder Vergünstigte Mahlzeiten
- High-quality employee restaurant
Gemeinnützige Ausrichtung
- Volunteer day
Über das Unternehmen
SIXT
Branche
Transportation
Beschreibung
The company is a globally leading mobility service provider offering car rental, car sharing, taxi services, and car subscriptions.
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