Associate MLOps Engineer (d/f/m), DHL Data & Analytics

Join our team in Bonn, Germany, for a full-time position, starting as soon as possible.

Associate Machine Learning Operations Engineer (d/f/m)

The 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.

DHL Data & Analytics is a Global Business Service Line in DHL Group, focusing on leveraging data to create business value. We are a dynamic, innovative, and globally diverse team with approximately 120 talented professionals, including Data Engineers, Cloud Engineers, DevOps Engineers, Data Scientists, and Architects. With presences in Singapore and Italy, Bonn, Germany serves as DHL Data & Analytics headquarters. The team’s purpose is to unleash the power of data science, drive cross-divisional AI solutions, foster a data-driven culture, and accelerate digitalization within DHL Group. As part of our work, the team is responsible for creating and maintaining robust data platforms and data pipelines to ensure accurate and efficient data processing and analysis. The team embraces diversity with over 20 nationalities represented and a 30% female workforce, fostering collaboration and the pursuit of excellence.

Your tasks

DHL introduced a modern Kubernetes-based data science platform, making use of the open-source Kubeflow solution. Our environment gives you the chance to work with state-of-the-art open-source components combined with carefully chosen vendor-backed solutions.

We offer you training on the job, enabling you to become a confident Associate MLOps engineer who knows how to professionally build, deploy and run state-of-the-art machine learning use cases with cutting-edge technology.

You then help data scientists transition their activities from informal exploratory data analytics (e.g., based on Jupyter notebooks) to production-ready and structured ML pipelines, using Kubeflow Pipelines. Applying DevOps best practices, you help data scientists get more efficient at component reusability and observability. Using KF Serving, you guide data scientists on their journey to productize ML models for scoring/inferencing via web endpoints.

Together with our security and support engineers, you ensure the services run reliably and securely.

Your profile

• You bring:

• BSc / MSc in Data Science, (Business) Analytics, Computer Science, Maths, Statistics, Physics, (Industrial) Engineering or related natural sciences / technical degree
• Practical experience in Python programming
• Willingness to deepen programming skills in Python, with the large ecosystem of data science and ML-related libraries and components like scikit-learn, pandas, pytorch, tensorflow, and others
• Routine experience with common Python tooling like pip, conda, virtual environments etc.
• First practical experiences (e.g., internship in related topics)
• Fluency in English

• Learn and apply CI/CD and automation best practices with tools like Github Actions, ArgoCD, Terraform, Helm, and more
• Work with Docker and Kubernetes on various levels and on multiple platforms (on-prem, Azure, GCP)
• Work on a variety of state-of-the-art ML and AI solutions for a global company with many different fields of application

• Collaboration with Data Scientists
• Any open-source or proprietary ML lifecycle management tooling and platforms like AWS Sagemaker, Azure ML, Google Vertex AI, MLFlow, and others
• Knowledge about software engineering, cloud infrastructure, databases, data engineering or other related fields
• Additional programming languages

Your benefits

At DHL Data & Analytics, 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 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.

For questions, please send your questions via .

Are you interested in this position with its varied tasks? Please click on “Apply Here” and send us your complete application, including your CV, academic and professional references, your desired salary, and your earliest possible starting date.

You can find more information about us here: LinkedIn DHL Data & Analytics .

We recruit on a rolling basis and accept applications until 15th March 2025. Apply now!

CONNECTING PEOPLE. IMPROVING LIVES.

#J-18808-Ljbffr