Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Building and maintaining ML serving layers for a global delivery platform. Expert proficiency in Go and Python required. 27 days holiday, €1000 educational budget.
Anforderungen
- Expert proficiency in Go and Python
- Proven experience designing scalable applications from scratch
- Experience with high-throughput data streaming technologies
- Experience in technical explorations and pros/cons analysis
- Experience with CI/CD pipelines and Infrastructure as Code
- Expertise with containerization and orchestration tools
- Fluency and clarity in English communication
- Strong conceptual understanding of MLOps lifecycle
- Prior hands-on experience in ML Engineering or MLOps
- Experience in deep-diving into complex systems for performance investigations
Aufgaben
- Build and maintain high-performance ML serving layer
- Integrate multiple microservices in real-time
- Fetch external data and apply business rules
- Enforce operational constraints to enrich model predictions
- Architect solutions for low-latency and high efficiency
- Take end-to-end ownership of backend serving layer
- Collaborate with Data Scientists and Engineers
- Optimize workflows and transition models to production
- Suggest new technologies and architectures
- Utilize public cloud infrastructure and CI/CD
- Build highly available systems for multiple teams
- Redefine customer experience in quick commerce
- Scale non-food offerings to new market segments
- Drive revenue growth through innovation
- Support Delivery Hero's global expansion
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Go
- Python
- gRPC
- GraphQL
- Kafka
- Pub/Sub
- Terraform
- Docker
- Kubernetes
- Metaflow
- MLflow
- Argo Workflows
- Cloud Notebooks
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
- 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 & 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.
Noch nicht perfekt?
- Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Engineer, Golang - (Logistics, Rider Experience)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Manager, Software Engineering, Java/Kotlin(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin
DEDelivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Building and maintaining ML serving layers for a global delivery platform. Expert proficiency in Go and Python required. 27 days holiday, €1000 educational budget.
Anforderungen
- Expert proficiency in Go and Python
- Proven experience designing scalable applications from scratch
- Experience with high-throughput data streaming technologies
- Experience in technical explorations and pros/cons analysis
- Experience with CI/CD pipelines and Infrastructure as Code
- Expertise with containerization and orchestration tools
- Fluency and clarity in English communication
- Strong conceptual understanding of MLOps lifecycle
- Prior hands-on experience in ML Engineering or MLOps
- Experience in deep-diving into complex systems for performance investigations
Aufgaben
- Build and maintain high-performance ML serving layer
- Integrate multiple microservices in real-time
- Fetch external data and apply business rules
- Enforce operational constraints to enrich model predictions
- Architect solutions for low-latency and high efficiency
- Take end-to-end ownership of backend serving layer
- Collaborate with Data Scientists and Engineers
- Optimize workflows and transition models to production
- Suggest new technologies and architectures
- Utilize public cloud infrastructure and CI/CD
- Build highly available systems for multiple teams
- Redefine customer experience in quick commerce
- Scale non-food offerings to new market segments
- Drive revenue growth through innovation
- Support Delivery Hero's global expansion
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Go
- Python
- gRPC
- GraphQL
- Kafka
- Pub/Sub
- Terraform
- Docker
- Kubernetes
- Metaflow
- MLflow
- Argo Workflows
- Cloud Notebooks
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
- 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 & 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.
Über das Unternehmen
Delivery Hero
Branche
IT
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Axel Springer News Media National
Senior Software Engineer - Machine Learning(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Engineer, Golang - (Logistics, Rider Experience)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Manager, Software Engineering, Java/Kotlin(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin