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Civo’s vision is simple. To create a flexible cloud platform created by developers, for developers. We think you should spend less of your time managing environments and hosting platforms, and more time coding – after all, that’s what we always wanted.
Civo is revolutionising the cloud industry by providing developers and businesses with cutting-edge, developer-friendly cloud solutions. With a focus on simplicity, performance, and reliability, Civo enables its clients to unleash the full potential of their projects and scale with ease. As a company committed to excellence and innovation, Civo values diversity, collaboration, and continuous improvement.
About The Role
Are you up to the challenge of building the next generation of Machine Learning products on the cloud with us? We have an international, fully remote team working on creating the best Kubernetes-first, innovative virtualization platform around, and we'd like you to join as a senior engineer and team lead. In this role, you will be bringing new products to life, working with cutting-edge technology, and making a daily difference supporting users by giving them a platform on which to build awesome new things.
You will get fully involved with the inner workings of Artificial Intelligence, Kubernetes, virtualization and cloud computing, with opportunities to contribute back to open-source projects and participate at industry conferences around the world. You won't just ship code: you'll join a supportive team that values your perspective and ideas from day one.
Responsibilities
Manage the development and maintenance of scalable, efficient code for the Machine Learning components of the Civo Cloud Platform
Ensure code quality, performance, and reliability through comprehensive testing and optimization
Collaborate with designers, product managers, and other engineers to translate requirements into technical solutions
Improve team performance through implementing best practices, refactoring, optimizing and improving the documentation of code and the application of best practices
Participate in code reviews, providing constructive feedback and fostering a collaborative environment
Stay up-to-date with the latest Machine Learning trends, libraries, and tools
Troubleshoot and debug complex technical issues
Requirements
Bachelor’s degree in Computer Science, Engineering or a related field, or proven related professional experience
4+ years of professional experience developing, deploying and optimising Machine Learning Solutions
2+ years of running large applications and systems in production environments
2+ Experience with containerization technologies (Docker, Kubernetes)
Proven Experience training Machine Learning Models of any modality
Experience building and designing Machine Learning Pipelines or workflows (MLOps)