MLOps (Machine Learning Operations)

Job description

Unique, exciting, fun-loving, and fast-growing – Welcome to Docler Holding! Since launching in 2001, we have created products and experiences that entertain millions of people across the globe. We now serve more than 50 million users a day and are consistently amongst the top visited websites in the world with following in the millions!

Some of our top-ranking websites include:

-, a market leader in the live streaming industry

-, a platform that helps people make authentic connections

-, a pioneer in the online spiritual space and the world’s biggest live spiritual site

With us you will...

  • Collaborate with Engineers to deploy Deep Learning solutions which can scale
  • Use Serving Frameworks (TFX Serving, Triton Serving, Kubeflow...) to deploy and benchmark models
  • Build a tech-debt free ML infrastructure by applying MLOps/DevOps principles
  • Setup CI/CD pipelines to accelerate/automate neural network deployment and trainings


    What we expect from you...

    • B.S., M.S. or Ph.D. in Computer Science, Engineering or related technical field
      • 3+ years of highly technical, hands-on job experience
      • Experience with MLOps/DevOps tools (e.g. Kubernetes, Docker, Kubeflow, MLFlow) and principles (e.g. experiment tracking)
      • Knowledge in Python/C++ and Machine Learning frameworks (Tensorflow, PyTorch)
      • Experience in planning and building CI/CD pipelines from scratch
      • Experienced with Azure/GCP/AWS
      • Great communication and collaboration skills

        In return you will get...

        • You can publish your ideas and/or patent them
        • Conferences, meetups
        • Complimentary coffee, and tea
        • Customizable Cafeteria, private health insurance
        • Complimentary guarded parking (cars, motorcycles, bikes)
        • Fantastic events, including Christmas parties, family days, hackathons and other surprises

        For us the health of our colleagues and candidates is the most important, therefore our recruitment and the entire onboarding process is solved via online tools (e.g. video interview) without personal meetings. We are still very happy to receive and review your application.

        We are in it for the long haul so your future is safe with us.

        We are always on the lookout for fresh talent to join our #doclersquad!