DHL Group
Team Lead MLOps(m/w/x)
Full-timeWith HomeofficeSenior
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. 4+ years leading expert teams on complex solutions required. Flexible work arrangement, mobile work and office presence.
Requirements
- 10+ years ML/AI or MLOps engineering project delivery
- 4+ years leading expert teams on complex solutions
- Clear communication of technical choices
- High drive and ownership
- Motivation by shaping direction and culture
- People-centric leadership style
- Manager and coach to team
- Quick trust building
- Empathy with pragmatic mindset
- Track record industrializing ML/AI products
- Moving PoCs to production
- Generating measurable business impact
- Translating business needs to MLOps architectures
- Pragmatic decisions on tooling and infrastructure
- Building sustainable relationships with stakeholders
- Bringing clarity to ambiguous situations
- Turning ideas into successful projects
- Deep technical oversight
- Hands-on ML pipeline building
- Hands-on model service operation
- Hands-on CI/CD workflow operation
- Hands-on monitoring/observability stack operation
- Hands-on Kubernetes operation
- Hands-on infrastructure automation operation
- Strong knowledge of LLMOps
- Guiding teams in LLMOps adoption
Tasks
- Build relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines
- Define scalable ML/AI architectures
- Validate data and platform readiness
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Remove project roadblocks
- Set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations
- Document guardrails and CI/CD workflows
- Document MLOps policies and architecture decision records
- Contribute to internal frameworks and accelerators
- Build reusable components and templates
- Develop best practices for MLOps
- Evolve MLOps service offering
- Shape strategic roadmaps
- Enhance platform capabilities
- Align with stakeholders for enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth
- Provide coaching and continuous feedback
- Perform fair and structured performance assessments
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Kubernetes
- Azure
- AWS
- GCP
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
- Work-life balance
Other Benefits
- Adaptability
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 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. 4+ years leading expert teams on complex solutions required. Flexible work arrangement, mobile work and office presence.
Requirements
- 10+ years ML/AI or MLOps engineering project delivery
- 4+ years leading expert teams on complex solutions
- Clear communication of technical choices
- High drive and ownership
- Motivation by shaping direction and culture
- People-centric leadership style
- Manager and coach to team
- Quick trust building
- Empathy with pragmatic mindset
- Track record industrializing ML/AI products
- Moving PoCs to production
- Generating measurable business impact
- Translating business needs to MLOps architectures
- Pragmatic decisions on tooling and infrastructure
- Building sustainable relationships with stakeholders
- Bringing clarity to ambiguous situations
- Turning ideas into successful projects
- Deep technical oversight
- Hands-on ML pipeline building
- Hands-on model service operation
- Hands-on CI/CD workflow operation
- Hands-on monitoring/observability stack operation
- Hands-on Kubernetes operation
- Hands-on infrastructure automation operation
- Strong knowledge of LLMOps
- Guiding teams in LLMOps adoption
Tasks
- Build relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate requirements into scalable MLOps solutions
- Drive MLOps projects from PoC to production
- Plan resources and timelines
- Define scalable ML/AI architectures
- Validate data and platform readiness
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Remove project roadblocks
- Set success criteria
- Ensure adoption of standardized pipelines
- Monitor solution health
- Guide teams toward operational excellence
- Promote Responsible AI and platform governance
- Ensure compliance with security, privacy, and risk standards
- Oversee documentation of evaluations
- Document guardrails and CI/CD workflows
- Document MLOps policies and architecture decision records
- Contribute to internal frameworks and accelerators
- Build reusable components and templates
- Develop best practices for MLOps
- Evolve MLOps service offering
- Shape strategic roadmaps
- Enhance platform capabilities
- Align with stakeholders for enterprise-wide ML adoption
- Lead and develop a team of 5-7 MLOps engineers
- Foster a strong team identity
- Guide career growth
- Provide coaching and continuous feedback
- Perform fair and structured performance assessments
- Support organizational growth
- Interview new candidates
- Represent DHL Data & AI at events and conferences
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Kubernetes
- Azure
- AWS
- GCP
Benefits
Learning & Development
- Comprehensive training programs
- Workshops
- E-learning resources
Flexible Working
- Flexible work arrangement
- Mobile work and office presence
- Work-life balance
Other Benefits
- Adaptability
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 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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