DHL Group
Team Lead Data Science AI(m/w/x)
Full-timeWith HomeofficeManagement
Bonn
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DHDHL Group
Team Lead MLOps(m/w/x)
Bonn
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Driving MLOps projects from PoC to production for a global logistics provider. 10+ years IT delivery and 5+ years team leadership experience required. Flexible work arrangement, job ticket for public transportation.
Requirements
- 10+ years IT delivery or technology project/program management
- 5+ years leading complex, cross-functional teams
- Proven experience delivering AI/ML-enabled solutions or data platforms
- Bridge between business, data science, and engineering
- Strong ability to structure and steer MLOps initiatives
- Clear and pragmatic communication of technical concepts
- Alignment between technical and non-technical stakeholders
- Strong stakeholder management skills
- Build trust and manage expectations
- Resolve ambiguity in delivery programs
- High results-orientation and personal drive
- Ownership and intrinsic motivation
- Shape direction and culture of organization
- People-centric leader and coach
- Team development and motivation
- Focus on psychological safety
- Outcome-oriented delivery mindset
- Experience in making informed decisions on tooling, platforms, operating models
- Comfortable working in enterprise environments
- Understanding of risk management
- Understanding of data protection
- Understanding of model governance
- Understanding of AI responsibility
- Solid conceptual understanding of modern AI trends
- Understanding of LLMs and GenAI operational implications
- Responsible adoption of AI without hands-on expertise
Tasks
- Build and maintain relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate initial requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines for MLOps projects
- Define scalable ML/AI architectures
- Validate data and platform readiness with experts
- Provide project oversight for cross-functional teams
- Work closely with Consulting on large-scale projects
- Remove roadblocks and set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health (performance, reliability, cost efficiency)
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations and guardrails
- Manage CI/CD workflows and MLOps policies
- Document architecture decision records
- Contribute to internal MLOps frameworks and accelerators
- Structure requirements for MLOps frameworks
- Align stakeholders for MLOps development
- Steer expert teams to create reusable delivery models
- Create templates and best practices for MLOps
- Evolve MLOps service offering and operating model
- Shape strategic roadmaps for MLOps
- Enhance platform capabilities
- Align with stakeholders to drive enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth and provide coaching
- Perform fair and structured performance assessments
- Support organizational growth by interviewing candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML
- MLOps
- LLMs
- GenAI
- cloud
- CI/CD
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- Access to daycare facilities
Informal Culture
- Vibrant, inclusive, and cooperative 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 MLOps(m/w/x)
Bonn
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Driving MLOps projects from PoC to production for a global logistics provider. 10+ years IT delivery and 5+ years team leadership experience required. Flexible work arrangement, job ticket for public transportation.
Requirements
- 10+ years IT delivery or technology project/program management
- 5+ years leading complex, cross-functional teams
- Proven experience delivering AI/ML-enabled solutions or data platforms
- Bridge between business, data science, and engineering
- Strong ability to structure and steer MLOps initiatives
- Clear and pragmatic communication of technical concepts
- Alignment between technical and non-technical stakeholders
- Strong stakeholder management skills
- Build trust and manage expectations
- Resolve ambiguity in delivery programs
- High results-orientation and personal drive
- Ownership and intrinsic motivation
- Shape direction and culture of organization
- People-centric leader and coach
- Team development and motivation
- Focus on psychological safety
- Outcome-oriented delivery mindset
- Experience in making informed decisions on tooling, platforms, operating models
- Comfortable working in enterprise environments
- Understanding of risk management
- Understanding of data protection
- Understanding of model governance
- Understanding of AI responsibility
- Solid conceptual understanding of modern AI trends
- Understanding of LLMs and GenAI operational implications
- Responsible adoption of AI without hands-on expertise
Tasks
- Build and maintain relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate initial requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines for MLOps projects
- Define scalable ML/AI architectures
- Validate data and platform readiness with experts
- Provide project oversight for cross-functional teams
- Work closely with Consulting on large-scale projects
- Remove roadblocks and set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health (performance, reliability, cost efficiency)
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations and guardrails
- Manage CI/CD workflows and MLOps policies
- Document architecture decision records
- Contribute to internal MLOps frameworks and accelerators
- Structure requirements for MLOps frameworks
- Align stakeholders for MLOps development
- Steer expert teams to create reusable delivery models
- Create templates and best practices for MLOps
- Evolve MLOps service offering and operating model
- Shape strategic roadmaps for MLOps
- Enhance platform capabilities
- Align with stakeholders to drive enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth and provide coaching
- Perform fair and structured performance assessments
- Support organizational growth by interviewing candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML
- MLOps
- LLMs
- GenAI
- cloud
- CI/CD
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
Public Transport Subsidies
- Job ticket for public transportation
Parking & Commuter Benefits
- Parking space for a monthly fee
Company Bike
- Bicycle leasing
Childcare
- Access to daycare facilities
Informal Culture
- Vibrant, inclusive, and cooperative 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 Data Science AI(m/w/x)
Full-timeWith HomeofficeManagementBonn - Comma Soft
Senior Consultant MLOps Engineering(m/w/x)
Full-timeWith HomeofficeSeniorBonn - DHL Group
Senior DevSecOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBonn - comma-soft
Senior Consultant AI Engineering(m/w/x)
Full-timeWith HomeofficeManagementBonn - Comma Soft
Consultant MLOps Engineering(m/w/x)
Full-timeWith HomeofficeJuniorBonn