Associate MLOps Engineer , DHL Data & Analytics in Bonn bei Deutsche Post & DHL

Deutsche Post & DHL

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. As a sister service line, DHL Consulting collaborates with DHL Data & Analytics to recruit for this vacancy.
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 role:
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 getting their activities transitioned from informal exploratory data analytics e.g. based on Jupyter notebooks to structured ML pipelines, using Kubeflow Pipelines. Applying best practices for KF Pipelines components, 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.

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 First practical experiences (e.g. internship in related topics) Fluency in English You want to: Learn and apply CI/CD and automation best practices with tools like Github Actions, ArgoCD, Ansible, Terraform, Helm, and more Work with Kubernetes on various levels and on multiple platforms (on-prem, Azure, GCP) Immerse yourself deeply in all aspects of Docker image building and optimization Bonus points for practical experience with any of: 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 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.
Adynamic, cooperative, and international environment that encourages new insights.

For technical questions please reach out to either
Leonardo Di Matteo leonardo.di.matteo@dhl.com , Head
of AI Platforms & Operations, or Christian Krudewig christian.krudewig@dhl.com , Tech
Lead ML Operations.

For recru