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 Associate AI Engineer (d/f/m) and become part of our extraordinary 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, is able to 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 will work hand-in-hand with more senior AI Engineers to help business leaders turn real-world challenges into powerful AI solutions. With mentoring from your colleagues, y ou will partner with consultants from DHL Consulting and stakeholders to help uncover opportunities and translate business needs into data-driven strategies.

In this role you will

• Support API and Service Development - Assist in wrapping machine learning models into simple APIs and services. Help design clear interfaces and basic error handling .
• Contribute to Data and Retrieval Workflows - Help build data pipelines and retrieval components by working on data loaders, embeddings, and basic search functions. Learn to apply caching and grounding techniques to improve model responses.
• Assist with Deployment and Monitoring - Participate in containerizing applications and setting up basic CI workflows. Support deployment to Kubernetes and help monitor system performance using logs and metrics.
• Learn and Apply Evaluation Techniques - Help run offline evaluations and basic safety checks. Learn how to implement guardrails for privacy and compliance with support from senior team members.
• Create Developer Tools and Demos - Build lightweight demos, notebooks, and documentation to support internal teams and improve developer experience.
• Collaborate and Learn - Work closely with senior AI and Data Engineers, Platform Engineers, and Product Managers. Receive mentorship to grow your skills and understanding of production-grade systems.    

What you bring:  

• University degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative or technical field, or comparable qualification .
• Proficient programming skills in Python or R, solid SQL skills, experience with additional languages (e.g. Java) is a plus ; software hygiene (version control, testing, code reviews) .
• Experience in building backend services or pipelines and integrating ML/LLM components .
• Good knowledge about Retrieval/RAG, agent orchestration, and the field of AI in general .
• Basic understanding of the foundational concepts of machine learning, statistical analysis, and/or mathematical optimization techniques .
• Practical experience in analyzing complex datasets and developing analytical or AI-based models and a keen interest in AI innovation .
• Excellent written and spoken English communication skills .  
• Ability to clearly communicate technical trade-offs and decisions to non-technical stakeholders.
• Curiosity, a growth mindset, results orientation and problem-solving combined with a collaborative and positive "can-do” attitude.
• Independent work ethic, proactivity, integrity, and loyalty .
• Drive to understand business needs and challenges , and the mind set for translating them into technical challenges.

What we offer:   

 At DHL Data & AI, we offer an array of benefits designed to support your professional growth and personal well-being. Here is 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 remote 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 dynamic, cooperative, and international environment that encourages new insights.