Digital Product Owner of MLOPs framework and tools
Role details
Job location
Tech stack
Job description
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. What you will do ? At Data & AI Foundation, you will contribute to the transformation of our company, the transport industry and society at large. You will lead the development and optimization of a modern MLOps experience and framework that enables efficient and governed AI solution delivery across Volvo for 200+ practionners. Your responsibilities will include leading the team:
- Designing and evolving a user-centric MLOps environment that is intuitive, reliable, and optimized for self-service usage by data scientists and ML engineers.
- Developing and maintaining the core components of Volvo's MLOps framework on UDP, with a strong focus on reducing operational overhead and automating repetitive tasks.
- Defining and supporting end-to-end integrations across Azure Databricks, Unity Catalog, Azure ML, Azure Data Factory, Azure DevOps, and other cloud services to deliver a cohesive MLOps ecosystem.
- Continuously assessing platform pain points, gathering user feedback, and driving iterative improvements that enhance developer experience, productivity, and operational maturity.
- Collaborating closely with platform architects, vendors, and AI practitioners to co-develop standards, best practices, and operational patterns for ML lifecycle management.
You will have a specific focus to continuously assessing platform pain points, gathering user feedback, and driving iterative improvements that enhance developer experience, productivity, and operational maturity. You will collaborate closely with platform architects, vendors, and AI practitioners to co-develop standards, best practices, and operational patterns for ML lifecycle management. Your work will directly impact the productivity, safety, and scalability of AI usage within Volvo, enabling a frictionless and robust MLOps journey for teams across the organization. Your future team You will join the Analytical AI product team within the Data & AI unit, a dynamic, multidisciplinary group of 20+ platform engineers, data scientists, and AI specialists.
- Our culture emphasizes user-centricity, innovation, and continuous learning.
- We value diverse perspectives and foster an environment where your ideas can shape how AI solutions are developed, deployed, and operated in production at global scale.
Requirements
You love collaborating across large international companies. You are passionate about AI/ML engineering and platform enablement, with a strong background in MLOps, Azure cloud services, and the end-to-end ML lifecycle. You excel at the intersection of technology and user experience, and you enjoy simplifying complex workflows. Mandatory competence : Databricks hands on expertise.
Benefits & conditions
We offer a solid package of compensation and benefits, plus you will enjoy:
- Opportunities for professional growth in AI, MLOps, and cloud platform engineering.
- The chance to work with innovative, next-generation AI technologies in a global environment.
- Flexible working conditions and a supportive, collaborative team culture