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52 Volvo Auto Jobs

Data Platform Engineer - MLOps

3-5 years

Bangalore / Bengaluru

1 vacancy

Data Platform Engineer - MLOps

Volvo Auto

posted 5mon ago

Job Description

Lets create the future together.
At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable and convenient mobility. Want to join us
The Data Platform team builds the solutions to shape the future of Machine Learning at Volvo Cars.
Main responsibilities
As an engineer in this team you will design, develop, and maintain robust end-to-end capabilities for our Machine Learning Platform 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 principles to ensure the reproducible development of reliable and innovative ML products.
As a ML Platform Engineer, you will be an empowered member in a committed, cross-functional team that develops Volvo Cars ML platform in collaboration with stakeholders across the company. In this role, team contributors thrive best. We envisage that you embrace agile working principles, enjoy solving problems and are committed to learning and development. You should have experience in Software Engineering, the Public Cloud and Kubernetes and be fluent in spoken and written English.
An awareness and interest in Machine Learning is a distinct advantage.
Key competencies for the position include:
Significant experience of deploying and operating applications, in production, on Kubernetes.
Strong knowledge of at least one programming language, ideally Python or Go.
Thorough understanding of the Software Engineering discipline with a passion for automation and security.
Comfortable in the use of docker and containerisation.
Knowledge of public cloud services; AWS or Azure are preferred.
Familiarity with relevant technologies from the cloud-native ecosystem, such as Kubeflow, Istio, TektonCD and KNative.
Who are we


Employment Type: Full Time, Permanent

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