Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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DEDelivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Docker
- Kubernetes
- Terraform
- LLMs
- LangGraph
- AutoGen
- CrewAI
- Langfuse
- LangSmith
- LLaMA
- Mistral
- Mixtral
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DEDelivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Docker
- Kubernetes
- Terraform
- LLMs
- LangGraph
- AutoGen
- CrewAI
- Langfuse
- LangSmith
- LLaMA
- Mistral
- Mixtral
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Delivery Hero
Industry
IT
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Not a perfect match?
- Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Delivery Hero
Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Full-timeWith HomeofficeNot specifiedBerlin - Delivery Hero
Principal Data Scientist - AdTech Ranking(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Delivery Hero
Principal Engineer - AdTech(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - RepRisk AG
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin