Delivery Hero
Senior AI Scientist (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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DEDelivery Hero
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing advanced LLMs and agentic reasoning patterns for query intelligence. Deep, hands-on experience with LLM fine-tuning and tool-use required. 27 days holiday, €1000 educational budget.
Requirements
- Advanced degree in quantitative field or equivalent professional background
- Proven track record solving complex business problems with advanced scientific methodologies
- Deep, hands-on experience building Agentic workflows
- Experience with tool-use (function calling), autonomous planning
- Proven track record in LLM fine-tuning (SFT, RLHF/DPO)
- Experience with distillation techniques for model optimization
- Essential proficiency in Python and its ML ecosystem
- Essential proficiency in SQL
- Experience with Cloud environments (GCP/AWS)
- Experience with MLOps tools (e.g., MLFlow, Metaflow)
- Hands-on experience with search machine learning algorithms
- Foundational understanding of the search funnel
- Ability to navigate ambiguity to define clear data science solutions
- Ability to deliver scalable results in fast-paced environments
- Proactive use of AI-assisted tools (e.g., Gemini, Cloud Code)
- Demonstrated experience working effectively in global, cross-functional teams
- Excellent communication skills, ability to articulate complex ideas
- Ability to influence stakeholders at all levels
- Open-mindedness and eagerness to learn from and mentor others
Tasks
- Research and develop advanced LLMs
- Optimize query understanding services
- Design agentic reasoning patterns
- Implement multi-agent orchestration
- Apply PEFT techniques for model optimization
- Lead supervised fine-tuning and model distillation
- Identify and apply SOTA methods
- Collaborate with product managers and engineers
- Translate business challenges into data science projects
- Analyze and interpret complex datasets
- Communicate insights to stakeholders
- Drive end-to-end data science solutions
- Ensure solutions are scalable and effective
- Tackle ambiguous business problems
- Translate challenges into clear objectives
- Navigate uncertainty to deliver results
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LangChain
- LlamaIndex
- AutoGen
- Python
- SQL
- GCP
- AWS
- MLFlow
- Metaflow
- Gemini
- Cloud Code
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
Senior Data Scientist - (Query Intelligence, Global Discovery)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing advanced LLMs and agentic reasoning patterns for query intelligence. Deep, hands-on experience with LLM fine-tuning and tool-use required. 27 days holiday, €1000 educational budget.
Requirements
- Advanced degree in quantitative field or equivalent professional background
- Proven track record solving complex business problems with advanced scientific methodologies
- Deep, hands-on experience building Agentic workflows
- Experience with tool-use (function calling), autonomous planning
- Proven track record in LLM fine-tuning (SFT, RLHF/DPO)
- Experience with distillation techniques for model optimization
- Essential proficiency in Python and its ML ecosystem
- Essential proficiency in SQL
- Experience with Cloud environments (GCP/AWS)
- Experience with MLOps tools (e.g., MLFlow, Metaflow)
- Hands-on experience with search machine learning algorithms
- Foundational understanding of the search funnel
- Ability to navigate ambiguity to define clear data science solutions
- Ability to deliver scalable results in fast-paced environments
- Proactive use of AI-assisted tools (e.g., Gemini, Cloud Code)
- Demonstrated experience working effectively in global, cross-functional teams
- Excellent communication skills, ability to articulate complex ideas
- Ability to influence stakeholders at all levels
- Open-mindedness and eagerness to learn from and mentor others
Tasks
- Research and develop advanced LLMs
- Optimize query understanding services
- Design agentic reasoning patterns
- Implement multi-agent orchestration
- Apply PEFT techniques for model optimization
- Lead supervised fine-tuning and model distillation
- Identify and apply SOTA methods
- Collaborate with product managers and engineers
- Translate business challenges into data science projects
- Analyze and interpret complex datasets
- Communicate insights to stakeholders
- Drive end-to-end data science solutions
- Ensure solutions are scalable and effective
- Tackle ambiguous business problems
- Translate challenges into clear objectives
- Navigate uncertainty to deliver results
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LangChain
- LlamaIndex
- AutoGen
- Python
- SQL
- GCP
- AWS
- MLFlow
- Metaflow
- Gemini
- Cloud Code
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
Food
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
Senior Data Scientist - Logistics, Workforce(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Delivery Hero
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Full-timeWith HomeofficeManagementBerlin - EGYM
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorMünchen, Berlin - Delivery Hero
Staff Data Scientist - AdTech Ranking(m/w/x)
Full-timeWith HomeofficeManagementBerlin