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Senior MLOps Platform Engineer - Hedehusene, Danmark - DSV
Beskrivelse
Time Type:
Do you want to contribute to the digital development of one of the world's leading transport and logistic companies while you apply your MLOps skills and technical understanding? Join our Data Science & AI department in Digital Enterprise Transformation in DSV Global IT in this next ambitious step in your career.
In Digital Enterprise Transformation, we are +180 colleagues spread across the globe and our work centres around helping the DSV business and IT colleagues create more value through digital initiatives.
We are seeking a highly skilled and motivated Senior MLOps Platform Engineer to join our dynamic team. If you are passionate about cloud-agnostic MLOps, working with cutting-edge technologies, and taking ownership of your vision, we want to hear from you. You will become part of a global team whose responsibility is to architect and implement the platform where all machine learning models across DSV will be developed, deployed, and maintained.
Your responsibility will be to:
• Develop and implement a forward-thinking platform architecture for machine learning operations.
• Collaborate with internal stakeholders along with our cloud partners, such as Google, in weekly meetings to align and share ideas for platform improvements.
• Help define the model management lifecycle including continuous finetuning and model performance monitoring.
• Deploy and maintain machine learning models on Kubernetes clusters.
• Work closely with data scientists to understand their needs and ensure a seamless workflow for model development and deployment.
• Contribute to building and maintaining our Model Registry as well as integrating this with our Meta Data store and our Model Monitoring setup.
Skilled MLOps engineer with solid technical knowledge
We imagine you are forward-thinking, collaborative, adaptable, and able to work effectively with cross-functional teams. You demonstrate a proactive and independent approach to problem-solving and have a vision for the long-term development of the MLOps platform.
In addition, you have:
• Proven experience in MLOps and machine learning model deployment on Kubernetes.
• Proficiency with cloud technologies, including GCP and Azure.
• Familiarity with Azure DevOps, GKE, AKS, and Terraform for CI/CD and infrastructure as code.
• Strong software development programming skills.
• A cloud-agnostic mindset and experience with Kubeflow are strong assets.
• Understanding of the Data Science workflow is a plus.
Your technology stack includes:
• Cloud Platforms: GCP, Azure
• Machine Learning: Kedro, Kubeflow
• DevOps: Azure DevOps, GKE, AKS, Terraform
• Data Management: Apache Beam and Kafka
• Programming: Python + any statically-typed language
Join an encouraging work environment built on ownership and empowerment
In Global IT we enable and develop the business through technological innovations to keep supply chains flowing in a world of change. Global IT consists of 2,300 employees spread across the world and we work with a high sense of integrity and ambition to deliver the best services and products for colleagues and customers alike. We are doers, and we are driven to go further, faster. One could say we move goods through technology and innovation in Global IT.
Want to know more and apply?
We will be happy to answer your questions about the position and the possibilities in DSV. Please contact Head of MLOps, Morten Lantow at
We process applications on an ongoing basis so please do not hesitate to apply.
DSV – Global Transport and Logistics