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Senior MLOps Engineer (f/m/d)

  • Hamburg
  • adjoe
  • Cloud Engineering
  • Full-time
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adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with. We are looking for a Senior MLOps Engineer to strengthen the Cloud Engineering team.

As a part of the infrastucture team, you will work closely with the BI and Data Science team to help shape the future of adjoe’s core business and technologies, through enabling intelligent solutions based on data and insights. You will have access to state of the art technology and will work closely with all business stakeholders to implement new approaches on how to leverage our models in production, from model deployment to monitoring and online learning.
What you will do:
  • Design and implement MLops solutions on cloud
  • Build CI/CD/data pipelines orchestration 
  • Build scalable model training infrastructure to allow for distributed learning and parallel processing
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
  • Communicate with a team of data scientists and DevOps Engineers
    • Who you are:
  • You have more than 3 years of experience in developing data pipelines, deploying machine learning models as well as building model tracking, monitoring and online learning tools/infrastructure
  • You have showcased strong ability to design and implement cloud solutions as well as capability in building MLOps pipelines on cloud platforms (AWS, MS Azure or GCP)
  • You have a strong Kubernetes knowledge
  • You are experienced with infrastructure-as-code tools such as terraform
  • You have a strong experience in deploying Spark, Ray or Dask clusters on kubernetes as well as managing the infrastructure 
  • You are experienced with deploying and managing MLOps technologies such as Kubeflow, BentoML, MLFlow, DataRobot, Airflow etc.
  • You have excellent analytical & communication skills and are experienced with Python and/or Golang
  • You are self-confident and competent in communicating with different teams
  • You are able to dive deep into complex topics and explain them in an easy way to the stakeholders
    • Why you will love working here:
  • Tech Package: Create game-changing technologies and work with the newest technologies out there.
  • Work–Life Package: Work remotely for 2 days per week, enjoy flexible working hours and 30 vacation days, and work remotely for 3 weeks per year, a modern office in the city center, dog-friendly.
  • Relocation Package: Receive visa and legal support, a generous relocation subsidy, and free German classes in the office.
  • Never-Go-Hungry Package: Graze on regular company and team lunches, free breakfasts, and a selection of free snacks and drinks.
  • Health Package: Free in-house gym, and biweekly yoga classes.
  • Activity Package: Enjoy a host of team events, hackathons, and company trips.
  • Career Growth Package: Dedicated growth budget to attend relevant conferences and online seminars of your choosing.
  • Wealth Building: Virtual stock options.
    • Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

    We welcome applications from people who will contribute to the diversity of our Company.
    Apply for this job

    Enjoy our Benefits

    Free Drinks & Snacks

    Gym Access & Yoga Classes

    Flexible Working Times & 2 Remote Days per Week

    State of the Art Hard- and Software

    Hackathons & Meetups

    Quarterly Team Events

    Monthly Team & Company Lunch

    Public Transportation Subsidy

    Free Breakfast everyday

    Dog Friendly

    Learning & Development Budget

    Relocation Support

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