DHL Group
Team Lead MLOps(m/w/x)
Full-timeWith HomeofficeSenior
Bonn
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DHDHL Group
Team Lead Data Science AI(m/w/x)
Bonn
Full-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
Framing business issues and translating requirements into end-to-end Data Science and AI projects at a global logistics provider. 10+ years delivering Data Science/AI Engineering projects required. Flexible work arrangement, job ticket for public transportation.
Requirements
- 10+ years delivering Data Science/AI Engineering projects
- 4+ years leading expert teams on complex solutions
- Track record shipping AI/ML products with business impact
- Ownership for turning ideas into outcomes
- Translating business needs into scalable AI solutions
- Pragmatic decision-making
- Building sustainable stakeholder relationships and trust
- Clarity in ambiguous situations
- Turning idea discussions into successful projects
- Strong technical oversight
- Fluency in Python
- Fluency in SQL
- Hands-on experience productionizing ML/LLM solutions
- Experience with cloud environments (Azure/AWS/GCP)
- Deep knowledge of retrieval/RAG
- Deep knowledge of agent orchestration
- Deep knowledge of prompt/versioning
- Deep knowledge of tracing
- Deep knowledge of RAG evaluation
- Guiding teams in applying AI/ML techniques effectively
- Clear communication of complex technical choices
- Enabling alignment across audiences
- People-centric leadership style
- Coaching team members
- Building trust quickly
- Empathy combined with pragmatic mindset
- High drive and ownership
- Motivation by shaping direction and culture
Tasks
- Build relationships with business stakeholders
- Frame business issues and value hypotheses
- Translate requirements into Data Science and AI projects
- Set up projects end-to-end
- Allocate resources and plan timelines
- Design scalable solution architectures
- Make make/buy decisions
- Conduct data landscape assessments
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Provide project guidance and unblock roadblocks
- Identify and set success criteria
- Ensure adoption and quality of deliverables
- Monitor solutions for performance, reliability, and costs
- Guide teams on responsible AI and risk standards
- Align with privacy, security, and compliance
- Document evaluations and guardrails
- Contribute to best practices and playbooks
- Accelerate future use cases
- Ensure consistency in initiatives
- Develop service offerings and ways of working
- Shape company-wide action plans
- Align with stakeholders across business and tech landscape
- Lead and develop a team of 5-7 experts
- Build a strong team identity
- Manage career progression
- Provide regular feedback
- Prepare people evaluations
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ML
- LLM
- CI/CD
- observability
- Azure
- AWS
- GCP
- RAG
Benefits
Learning & Development
- Comprehensive training programs
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- DHL Group daycare facilities
Informal Culture
- Inclusive international setting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DHL Group 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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DHDHL Group
Team Lead Data Science AI(m/w/x)
Bonn
Full-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
Framing business issues and translating requirements into end-to-end Data Science and AI projects at a global logistics provider. 10+ years delivering Data Science/AI Engineering projects required. Flexible work arrangement, job ticket for public transportation.
Requirements
- 10+ years delivering Data Science/AI Engineering projects
- 4+ years leading expert teams on complex solutions
- Track record shipping AI/ML products with business impact
- Ownership for turning ideas into outcomes
- Translating business needs into scalable AI solutions
- Pragmatic decision-making
- Building sustainable stakeholder relationships and trust
- Clarity in ambiguous situations
- Turning idea discussions into successful projects
- Strong technical oversight
- Fluency in Python
- Fluency in SQL
- Hands-on experience productionizing ML/LLM solutions
- Experience with cloud environments (Azure/AWS/GCP)
- Deep knowledge of retrieval/RAG
- Deep knowledge of agent orchestration
- Deep knowledge of prompt/versioning
- Deep knowledge of tracing
- Deep knowledge of RAG evaluation
- Guiding teams in applying AI/ML techniques effectively
- Clear communication of complex technical choices
- Enabling alignment across audiences
- People-centric leadership style
- Coaching team members
- Building trust quickly
- Empathy combined with pragmatic mindset
- High drive and ownership
- Motivation by shaping direction and culture
Tasks
- Build relationships with business stakeholders
- Frame business issues and value hypotheses
- Translate requirements into Data Science and AI projects
- Set up projects end-to-end
- Allocate resources and plan timelines
- Design scalable solution architectures
- Make make/buy decisions
- Conduct data landscape assessments
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Provide project guidance and unblock roadblocks
- Identify and set success criteria
- Ensure adoption and quality of deliverables
- Monitor solutions for performance, reliability, and costs
- Guide teams on responsible AI and risk standards
- Align with privacy, security, and compliance
- Document evaluations and guardrails
- Contribute to best practices and playbooks
- Accelerate future use cases
- Ensure consistency in initiatives
- Develop service offerings and ways of working
- Shape company-wide action plans
- Align with stakeholders across business and tech landscape
- Lead and develop a team of 5-7 experts
- Build a strong team identity
- Manage career progression
- Provide regular feedback
- Prepare people evaluations
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ML
- LLM
- CI/CD
- observability
- Azure
- AWS
- GCP
- RAG
Benefits
Learning & Development
- Comprehensive training programs
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- DHL Group daycare facilities
Informal Culture
- Inclusive international setting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DHL Group 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
DHL Group
Industry
Logistics
Description
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
Not a perfect match?
- DHL Group
Team Lead MLOps(m/w/x)
Full-timeWith HomeofficeSeniorBonn - DHL Group
Associate Data Scientist AI(m/w/x)
Full-timeWith HomeofficeJuniorBonn - Simon-Kucher
Manager Data Science(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - MaibornWolff GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorBonn - comma-soft
Senior Consultant AI Engineering(m/w/x)
Full-timeWith HomeofficeManagementBonn