Creating Value at DHL Group Through Data and AI Innovation  

At DHL Data & AI, our team’s purpose is to unleash the power of data science, drive cross-Business Unit AI solutions, foster a data-driven culture, and accelerate digitalization within DHL Group.  Our support covers everything from project ideation to deployment, ensuring seamless integration. We also champion initiatives like Group-wide Data & Analytics governance, technology incubation, training, and community building for sustainable analytics integration in DHL Group's long-term strategy by advancing Data & AI and driving digitalization across the organization.  

Join our growing team in Bonn full-time as AI Engineer (d/f/m) and become part of our collaborative and forward-thinking Data & AI community !

Who we are:  

DHL Data & AI is a Global Business Service Line in DHL Group, focusing on leveraging data to create business value. We are a dynamic, innovative, and diverse team with approximately 120 talented professionals, including Data Engineers, Cloud Engineers, DevOps Engineers, Data Scientists, and Architects. DHL Group is the leading mail and logistics service provider for the world. As one of the planet’s largest employers operating in over 220 countries and territories, we see the world differently. Join our team and discover how an international network that’s focused on service, quality, and sustainability can connect people and improve lives through the power of global trade. And not just for our customers, but for every member of our team, too !

What you will do:  

As part of our Data & AI team, you’ll work hand-in-hand with business leaders to turn real-world challenges into powerful AI solutions. Partnering with stakeholders and consultants from DHL Consulting, you will uncover opportunities, define requirements, and translate business needs into data-driven strategies.  

In this role you will

• W rap foundation models and classical ML into APIs, workers, and event ‑ driven services, designing clear interfaces with guards and fallbacks.
• B uild the data and retrieval layer by creating loaders and embeddings, implementing vector and relational retrieval with caching and grounding strategies, and running evaluations to reduce hallucination and improve results.
• C ontainerize, test, and ship with CI, deploy to Kubernetes, instrument telemetry across traces, metrics, and logs, and define SLOs for latency, availability, and cost.
• I mplement offline and online evaluations, red ‑ teaming, and guardrails for safety, privacy, and compliance.
• B uild lightweight demos and developer ‑ experience assets such as simple UIs or notebooks, READMEs, playbooks, and reusable templates and components.
• W ork closely with Data Engineers, Platform Engineers, and Product Managers, with mentorship from a senior AI/ML engineer.

What you bring:  

• University degree i n a quantitative field (e.g. Mathematics, Statistics, Computer Science, Engineering, or related discipline) or equivalent experience.
• 2-3 years of hands-on experience in data science, machine learning, or AI engineering, ideally contributing to or leading end-to-end projects from concept to deployment.
• Strong programming skills in Python (preferred) and solid experience with SQL . Familiar with software development best practices (version control, testing, code reviews, CI/CD).
• Proven experience in building backend services, data pipelines, or integrating ML/LLM components into production environments.
• Working knowledge of retrieval and RAG systems , agent orchestration , and solid understanding of the AI/LLM ecosystem and related frameworks.
• Strong understanding of machine learning fundamentals and experience developing and deploying models that deliver real business value.
• Hands-on experience with modern ML/AI frameworks ( e.g. PyTorch , scikit-learn ) and good grasp of MLOps workflows for scalable model deployment.
• Experience with cloud platforms ( e.g. AWS, Azure, or GCP) and distributed data environments.
• Excellent communication skills in English .
• A bili ty to clearly explain technical trade-offs and decisions to both technical and non-technical audiences.
• Energetic, success-oriented problem solver with a collaborative and proactive mindset .
• Independent work ethic, integrity , and a positive "can-do” attitude with strong ownership of results.
• Genuine curiosity and drive to understand business needs , translating them into technical challenges and innovative AI solutions.

What we offer:   

 At DHL Data & AI, we offer an array of benefits designed to support your professional growth and personal well-being. Here's what you can expect when you join our team:   

• Comprehensive training programs, workshops, and e-learning resources to prioritize your growth and development.   
• A flexible work arrangement that blends mobile work and office presence, promoting work-life balance and adaptability.   
• A competitive salary package, inclusive of various benefits , to ensure employee well-being and satisfaction.   
• Diverse commuting options, including a job ticket for public transportation, parking space for a monthly fee, or bicycle leasing, to suit your preference.   
• Access to DHL Group's daycare facilities for working parents.   
• A vibrant, inclusive, and cooperative international setting that inspires innovative thinking.