Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DEDelivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and scaling end-to-end ML and data systems for a global delivery platform. Expertise in data engineering and ML pipelines required. 27 days holiday, educational budget, and language courses.
Anforderungen
- Experience designing and scaling production ML systems
- Experience designing and scaling production data platforms
- Experience with large-scale deployments
- Expertise in data engineering
- Expertise in ML pipelines
- Expertise in feature/data pipelines
- Expertise in RAG systems
- Expertise in embedding workflows
- Experience building reliable data infrastructure
- Experience maintaining reliable data infrastructure
- Strong guarantees around data quality
- Strong guarantees around data freshness
- Engineering skills in Python
- Engineering skills in SQL
- Experience with Docker
- Experience with Kubernetes
- Experience with cloud environments
- Experience with Infrastructure as Code
- Experience building reproducible systems
- Experience building scalable systems
- Experience integrating ML systems with APIs
- Experience integrating ML systems with services
- Experience operating ML systems in production
- Experience with monitoring and observability
- Experience with LLMs
- Experience with agent architectures
- Experience with orchestration frameworks
- Familiarity with synthetic data generation
- Familiarity with evaluation systems
- Familiarity with AI feedback loops
- Experience with agent observability tools
- Experience with ML observability tools
- Experience with model serving
- Experience with model routing
- Experience with inference optimization
- Experience with open-source models
- Experience with custom inference stacks
- Knowledge of system reliability patterns
- Knowledge of failure handling patterns
- Knowledge of safety patterns in AI systems
Aufgaben
- Design and own end-to-end ML and data systems
- Architect scalable data pipelines for RAG, embeddings, and real-time data
- Build and operate production-grade ML services and APIs
- Define standards for infrastructure, deployment, and system reliability
- Integrate ML systems with external APIs and operational platforms
- Lead implementation of security best practices for AI systems
- Ensure secure prompt handling and data privacy
- Protect against adversarial attacks and model injection
- Maintain strict authorization boundaries for AI agents
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Docker
- Kubernetes
- Terraform
- LLMs
- LangGraph
- AutoGen
- CrewAI
- Langfuse
- LangSmith
- LLaMA
- Mistral
- Mixtral
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.
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Principal Data Scientist - AdTech Ranking(m/w/x)
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DEDelivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and scaling end-to-end ML and data systems for a global delivery platform. Expertise in data engineering and ML pipelines required. 27 days holiday, educational budget, and language courses.
Anforderungen
- Experience designing and scaling production ML systems
- Experience designing and scaling production data platforms
- Experience with large-scale deployments
- Expertise in data engineering
- Expertise in ML pipelines
- Expertise in feature/data pipelines
- Expertise in RAG systems
- Expertise in embedding workflows
- Experience building reliable data infrastructure
- Experience maintaining reliable data infrastructure
- Strong guarantees around data quality
- Strong guarantees around data freshness
- Engineering skills in Python
- Engineering skills in SQL
- Experience with Docker
- Experience with Kubernetes
- Experience with cloud environments
- Experience with Infrastructure as Code
- Experience building reproducible systems
- Experience building scalable systems
- Experience integrating ML systems with APIs
- Experience integrating ML systems with services
- Experience operating ML systems in production
- Experience with monitoring and observability
- Experience with LLMs
- Experience with agent architectures
- Experience with orchestration frameworks
- Familiarity with synthetic data generation
- Familiarity with evaluation systems
- Familiarity with AI feedback loops
- Experience with agent observability tools
- Experience with ML observability tools
- Experience with model serving
- Experience with model routing
- Experience with inference optimization
- Experience with open-source models
- Experience with custom inference stacks
- Knowledge of system reliability patterns
- Knowledge of failure handling patterns
- Knowledge of safety patterns in AI systems
Aufgaben
- Design and own end-to-end ML and data systems
- Architect scalable data pipelines for RAG, embeddings, and real-time data
- Build and operate production-grade ML services and APIs
- Define standards for infrastructure, deployment, and system reliability
- Integrate ML systems with external APIs and operational platforms
- Lead implementation of security best practices for AI systems
- Ensure secure prompt handling and data privacy
- Protect against adversarial attacks and model injection
- Maintain strict authorization boundaries for AI agents
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Docker
- Kubernetes
- Terraform
- LLMs
- LangGraph
- AutoGen
- CrewAI
- Langfuse
- LangSmith
- LLaMA
- Mistral
- Mixtral
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?
- Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Principal Engineer - AdTech(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Vollzeitmit HomeofficeKeine AngabeBerlin - Delivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Delivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin