Driving MLOps projects from PoC to production for a global logistics provider. 4+ years leading expert teams required. Flexible work arrangement, job ticket for public transportation.
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Anforderungen
- 10+ years end-to-end ML/AI or MLOps engineering projects
- 4+ years leading larger expert teams
- Clear and simple technical communication
- High drive and ownership
- Motivation for shaping direction and culture
- People-centric leadership style
- Coaching and team development
- Trust building and empathy
- Pragmatic, outcome-oriented mindset
- Industrializing ML/AI products
- Moving PoCs to production
- Generating measurable business impact
- Translating business needs to MLOps architectures
- Pragmatic tooling and infrastructure decisions
- 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 ML model service operation
- Hands-on CI/CD workflow operation
- Hands-on monitoring/observability stack operation
- Hands-on Kubernetes operation
- Hands-on infrastructure automation in cloud
- Strong LLMOps knowledge
- Agent orchestration knowledge
- Prompt/versioning knowledge
- Tracing knowledge
- Evaluation frameworks knowledge
- Guiding teams in responsible LLMOps adoption
Aufgaben
- Build and maintain relationships with business stakeholders
- Frame business issues, value hypotheses, and success metrics
- Translate requirements into scalable MLOps solutions with roadmaps
- 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
- Lead cross-functional expert teams
- Work closely with Consulting on large-scale projects
- Remove roadblocks for project teams
- 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
- Oversee documentation of evaluations and guardrails
- Oversee documentation of CI/CD workflows and MLOps policies
- Oversee documentation of architecture decision records
- Contribute to internal frameworks and accelerators
- Build reusable MLOps components, templates, and best practices
- Scale MLOps maturity across the organization
- Evolve the MLOps service offering and operating model
- Shape strategic roadmaps for MLOps
- Enhance MLOps platform capabilities
- Align with stakeholders across business, data, and technology
- Drive enterprise-wide ML adoption
- Lead and develop a team of 5–7 MLOps engineers
- Foster a strong team identity
- Guide career growth for team members
- Provide coaching and continuous feedback to the team
- Perform performance assessments for the team
- Support organizational growth by interviewing candidates
- Represent DHL Data & AI at events and conferences
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Comprehensive training programs
- E-learning resources
- Flexible work arrangement
- Mobile work and office presence
- Job ticket for public transportation
- Parking space for a monthly fee
- Bicycle leasing
- DHL Group daycare facilities
- Inclusive international setting
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Nejo hat diesen Job automatisch von der Website des Unternehmens DHL Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei DHL GroupÜber das Unternehmen
DHL Group is the biggest logistics company in the world, providing management consulting and digitalization services across all industries.
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