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DHDHL Group

Team Lead MLOps(m/w/x)

Bonn
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Driving MLOps projects from PoC to production for a global logistics provider. 5+ years leading cross-functional teams delivering AI/ML solutions required. Flexible work arrangement, job ticket for public transportation.

Requirements

  • 10+ years IT delivery/technology project/program management
  • 5+ years leading complex, cross-functional teams
  • Delivering AI/ML-enabled solutions or data platforms
  • Bridge between business, data science, and engineering
  • Structuring and steering MLOps initiatives
  • Clear communication of technical concepts
  • Alignment between technical and non-technical stakeholders
  • Strong stakeholder management skills
  • Building trust and managing expectations
  • Resolving ambiguity and structuring delivery programs
  • High results-orientation and personal drive
  • Ownership and intrinsic motivation
  • Shaping direction and culture of organization
  • People-centric leader and coach
  • Team development and motivation
  • Maintaining outcome-oriented delivery mindset
  • Informed decisions on tooling, platforms, operating models
  • Working in enterprise environments
  • Understanding of risk management, data protection, governance
  • Conceptual understanding of modern AI trends
  • Understanding of LLMs and GenAI operational implications
  • Responsible AI adoption

Tasks

  • Build relationships with business stakeholders
  • Frame business issues and value hypotheses
  • Translate requirements into scalable MLOps solutions
  • Drive MLOps projects from PoC to production
  • Plan resources and timelines for projects
  • 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 for projects
  • 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
  • Document evaluations and guardrails
  • Maintain CI/CD workflows and MLOps policies
  • Create architecture decision records
  • Contribute to internal MLOps framework development
  • Structure requirements for MLOps frameworks
  • Align stakeholders on MLOps initiatives
  • Steer expert teams to create reusable delivery models
  • Enhance platform capabilities
  • Shape strategic roadmaps for MLOps
  • 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
  • Interview new candidates
  • Represent DHL Data & AI at events and conferences

Work Experience

  • 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness 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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