REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Machine Learning Engineer - Content ML (AU remote)
XX
Senior Machine Learning Engineer / Tech Lead - AI & MLCivo Ltd • New York, New York, United States
Jetzt Bewerben
XX

Senior Machine Learning Engineer / Tech Lead - AI & ML

Civo Ltd
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

About Civo: 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)
Experience managing complex Kubernetes Deployments
Experience scaling GPU Machine learning deployments and managing GPU Clusters
Strong written and verbal communication skills
Experience leading complex software development projects
Nice to Have:
Experience in a software development management or leadership roles
Experience using Machine Learning monitoring tools
Experience enforcing coding standards and practices
Experience working in asynchronous agile software teams
Experience working in fully remote organizations
Experience with open source Machine Learning projects
Why Join Civo:
Competitive compensation and benefits package
4‑day week company (unless attending an event)
Uncapped holiday
Collaborative and inclusive culture that values diversity and creativity
Opportunity to work with a dynamic and innovative team in the fast‑growing cloud industry
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.