Senior MLOps Engineer (D/F/M), DHL Data & AI

Location: Bonn, Germany

Job Seniority: Professionals

Job Type: Non Consulting

Working time: Full-time

Type of contract Permanent

Travel extent None

If you have any questions, please reach out to us via: dna.recruiting@dhl.com

One of our team members will get in touch with you.

If you are interested in this position, please click on Apply and submit your CV, academic records incl. grades, professional references, desired salary and your earliest possible start date. We kindly ask you to apply for one position at a time! We will reach out to you if we see a better match with another role on the team.

You can find us here: DHL Data & AI

Creating value at DHL Group through data and AI innovation!

At DHL Data & AI, our primary objective is to design and deliver scalable AI solutions that create tangible business value across DHL Group. We work end-to-end, from small, fast Proof of Concepts that validate potential to fully deployed AI solutions built in close partnership with business and engineering teams. To support this, we continuously optimize our data and AI platforms to ensure secure, cost-efficient, and reliable foundations for our solutions.

Alongside this core focus, we also strengthen the organization through data governance, training, technology incubation, and community building. We are committed to scaling Data & AI capabilities sustainably and accelerating digitalization across DHL Group.

Join our growing team in Bonn full time as Senior MLOps Engineer (d/f/m) and shape the company further!

Your tasks

DHL Data & AI operates a diverse portfolio of production-grade AI solutions across the Group, spanning LLM-based and agentic applications as well as traditional machine learning models. Built on a modern Kubernetes platform, our ecosystem blends leading open-source technologies with carefully chosen commercial solutions, providing an innovative and robust foundation for engineering excellence.

Our Data Scientists and AI Engineers create the models and business logic that drive innovation. MLOps Engineers bridge the gap between development and production, turning these concepts into robust, secure, and observable services. As a Senior MLOps Engineer, you take ownership of this journey from start to finish. You design the architecture, implement the solution yourself, and apply your expertise and judgment to determine when it is ready for real-world use.

What you will do

You design and shape the end-to-end architecture of agentic and GenAI applications, defining how they interact with business systems, internal model gateways, data sources, and users. From orchestrating multi-step agent workflows to designing data flows, state management, persistence, and failure handling, you make the critical architectural decisions that enable scalable and reliable solutions. You clearly document and communicate those decisions, ensuring the team understands not only what was built, but why.

This is a highly technical, hands-on engineering role. You develop applications yourself using Python and modern frameworks such as FastAPI and Pydantic, leveraging agent frameworks and cloud-native technologies. You containerize and package solutions, automate deployments through CI/CD and GitOps practices, and deliver them across development, UAT, and production environments on multiple cloud platforms.

You take ownership of a solution's readiness for production and help ensure a smooth transition to operations. You evaluate security, identity and access management, resilience patterns, observability, backup and recovery strategies, operational runbooks, and support processes. Your judgment helps determine when a solution is ready to reliably serve business users at scale.

You establish visibility into the behavior and performance of LLM-powered applications through distributed tracing, observability platforms, and evaluation frameworks. You develop evaluation datasets and automated quality assessments, including LLM-as-a-judge approaches, helping teams maintain high quality while balancing cost, performance, and latency over time.

You design and manage pipelines for data preparation, model training, batch inference, and recurring ML workloads. Working with technologies such as Kubeflow and Databricks, you help Data Scientists transform exploratory work into structured, reusable, and production-ready pipelines and model services.

You raise engineering standards through thoughtful code reviews, architectural guidance, and knowledge sharing. You support the growth of Associate and Mid-Level Engineers and help build a culture where expertise is documented, shared, and embedded within the team rather than relying on individual contributors.

What you bring

Requirements

We are committed to equal opportunity and reject any forms of discrimination as defined in DHL Group’s Human Rights Policy Statement. The basis for employee selection at DHL Data & AI is qualification, performance, skills and experience.

What will help you succeed in this role

Additional experience that would stand out

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 online 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 vibrant, cooperative, and international environment that inspires innovative thinking.