Machine Learning Operations Engineer

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

What you’ll do

The Data & Analytics Platform team builds the solutions to shape the future of Machine Learning at Volvo Cars. As an engineer in this team you will design, develop, and maintain robust end-to-end machine learning platform capabilities that enable data and analytics teams across the organisation to deliver value from data, whilst creating a culture of collaboration and data excellence. You will advocate the practice of applying software engineering principals to ensure the reproducible development of reliable and innovative ML products.

What you’ll bring

As a Machine Learning and Operations Engineer, you will be an empowered member in a committed cross-functional group that develops our ML and AI platform in collaboration with other teams.  In this role, team contributors thrive best. You want to contribute to team commitments and are committed to learning and development. We envisage that you embrace agile working principles and enjoy solving problems. You should also have experience in software engineering, working with the development and deployment of ML models to the cloud and be fluent in spoken and written English.

Other key competencies for the position include –  
-    Significant knowledge in at least one programming language, ideally Python or Go.
-    An awareness and interest in Machine Learning and Data Science.
-    Comfortable in the use of docker and containerisation.
-    Experience of running applications in production on Kubernetes.
-    Knowledge of public cloud services; AWS is preferred.
-    Familiarity with relevant technologies from the cloud-native ecosystem, such as Kubeflow, TektonCD and KNative.

Want to know more? We hope so

We’d love to receive and review your application. We welcome you to apply in English as soon as possible, we will go through applications on a regular basis.  Please apply through the provided link. Applications submitted via email will not be retained or taken into consideration. Once you receive a confirmation email from the system, your application will be acknowledged.

If you want more information about the role and its responsibilities or simply learn a bit more about the team, please reach out to the hiring manager at [email protected] or the recruiter at [email protected]. 

Location for this position can be in either Gothenburg or Stockholm.