Dein persönlicher KI-Karriere-Agent
Team Lead MLOps(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- MLOps
- LLMs
- GenAI
- cloud
- CI/CD
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- Workshops
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- Access to daycare facilities
Lockere Unternehmenskultur
- Vibrant, inclusive, and cooperative international setting
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Team Lead MLOps(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- MLOps
- LLMs
- GenAI
- cloud
- CI/CD
Benefits
Weiterbildungsangebote
- Comprehensive training programs
- Workshops
- E-learning resources
Flexibles Arbeiten
- Flexible work arrangement
Öffi Tickets
- Job ticket for public transportation
Parkplatz & Pendelvorteile
- Parking space for a monthly fee
Firmenfahrrad
- Bicycle leasing
Kinderbetreuung
- Access to daycare facilities
Lockere Unternehmenskultur
- Vibrant, inclusive, and cooperative international setting
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
DHL Group
Branche
Logistics
Beschreibung
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
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