Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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DEDelivery Hero
Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and maintaining scalable ML infrastructure for a global delivery platform. 5+ years of software or ML engineering experience required. 27 days holiday, with extra days on 2nd and 3rd year.
Anforderungen
- 5+ years Software Engineering, ML Engineering, MLOps, or Platform Engineering experience
- High-quality, maintainable code in Python or Golang
- Designing and building complex applications and distributed systems
- Software Design, Microservices, and Cloud Architecture Best Practices
- Containerization and orchestration tools (Docker, Kubernetes, Helm)
- CI/CD pipelines
- Infrastructure as Code (Terraform or equivalent)
- ML engineering ecosystem familiarity
- ML tools (Metaflow, MLflow, Argo Workflows, Jupyter Notebooks)
- Serving Frameworks (Triton)
- Public cloud platforms (Google Cloud and AWS)
- Technical deep-dives, investigations, debugging, and RCA
- Technical explorations and solution proposals
- Exceptional written and verbal English communication
- Contributing to and influencing architectural reviews and strategy
- English language proficiency
Aufgaben
- Define long-term technical vision and roadmap
- Lead design and maintenance of scalable ML infrastructure
- Manage entire ML lifecycle at scale
- Translate pain points into platform features
- Champion and implement new technologies
- Build highly available, secure systems
- Optimize performance, security, and efficiency
- Leverage modern cloud infrastructure
- Use Infrastructure as Code and container orchestration
- Define and enforce engineering best practices
- Write and share technical documents and RFCs
- Mentor junior and mid-level engineers
- Ensure code quality and consistency
- Promote team-wide technical excellence
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Golang
- GitOps
- MLOps
- DevOps
- Docker
- Kubernetes
- Helm
- Terraform
- Metaflow
- MLflow
- Argo Workflows
- Jupyter Notebooks
- Triton
- Google Cloud
- AWS
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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DEDelivery Hero
Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and maintaining scalable ML infrastructure for a global delivery platform. 5+ years of software or ML engineering experience required. 27 days holiday, with extra days on 2nd and 3rd year.
Anforderungen
- 5+ years Software Engineering, ML Engineering, MLOps, or Platform Engineering experience
- High-quality, maintainable code in Python or Golang
- Designing and building complex applications and distributed systems
- Software Design, Microservices, and Cloud Architecture Best Practices
- Containerization and orchestration tools (Docker, Kubernetes, Helm)
- CI/CD pipelines
- Infrastructure as Code (Terraform or equivalent)
- ML engineering ecosystem familiarity
- ML tools (Metaflow, MLflow, Argo Workflows, Jupyter Notebooks)
- Serving Frameworks (Triton)
- Public cloud platforms (Google Cloud and AWS)
- Technical deep-dives, investigations, debugging, and RCA
- Technical explorations and solution proposals
- Exceptional written and verbal English communication
- Contributing to and influencing architectural reviews and strategy
- English language proficiency
Aufgaben
- Define long-term technical vision and roadmap
- Lead design and maintenance of scalable ML infrastructure
- Manage entire ML lifecycle at scale
- Translate pain points into platform features
- Champion and implement new technologies
- Build highly available, secure systems
- Optimize performance, security, and efficiency
- Leverage modern cloud infrastructure
- Use Infrastructure as Code and container orchestration
- Define and enforce engineering best practices
- Write and share technical documents and RFCs
- Mentor junior and mid-level engineers
- Ensure code quality and consistency
- Promote team-wide technical excellence
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- Golang
- GitOps
- MLOps
- DevOps
- Docker
- Kubernetes
- Helm
- Terraform
- Metaflow
- MLflow
- Argo Workflows
- Jupyter Notebooks
- Triton
- Google Cloud
- AWS
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Sonstige Zulagen
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Firmenfahrrad
- Bicycle subsidy
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Delivery Hero
Branche
Other
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Delivery Hero
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