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Senior MLOps Engineer (f/m/d)

  • 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.
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    How We Hire

    Most people spend around one-third of their life at work. So, it’s our priority to build a healthy and purpose-centric culture based on our most important company values and what our people want.
    Life at adjoe

    Tech Team

    Introduce Yourself
    Get to know our Hiring Manager via video chat – and they’ll get to know you.
    Showcase Your Skills
    Take home a case study to work on – demonstrate your technical skills.
    Talk to the Team
    One of our Tech or Product Leads will give you feedback on your task and see if you’re a good fit for the team.
    Have a Call with Our Co-Founders
    You’ve made it this far! In this last step, adjoe’s Co-Founder Carlo Szelinsky will get to know you.
    Decision Time
    Our team will give the candidate most suitable for the position an offer to join adjoe.

    Business Team

    Introduce Yourself
    Get to know our Hiring Manager via video chat – and they’ll get to know you.
    Showcase Your Skills
    Take home a case study to work on – it might be a pitch or an Excel task.
    Talk to the Team
    One of our Business Leads will give you feedback on your task and see if you’re a good fit for the team.
    Have a Call with Our Co-Founders
    You’ve made it this far! In this last step, adjoe’s Co-Founder Jonas Thiemann will get to know you.
    Decision Time
    The team will give the candidate most suitable for the position an offer to join adjoe.
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    Achieve Great Things – Receive Great Things

    There’s more to life than work. That’s why we’re big on employee perks.
    office days 3× a week
    30 vacation days
    quarterly hackathons
    applike group parties
    WFH 2× a Week
    on-site gym & personal training
    learning & development budget
    monthly team events
    3 remote weeks per year
    dog-friendly office
    free German classes
    monthly company lunches
    virtual stock option program
    weekly fitness & yoga classes
    cross-departmental onboarding
    referral bonus up to €7,000
    visa support
    free snacks & drinks
    mentorship program
    subsidized transport ticket
    Explore the adjoe culture

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