Machine Learning Operations Engineer (m/f/d)

Berlin, Bangalore, Remote

is the future of mobile marketing — building software that allows mobile app developers to connect with their users.
We are a B2B SaaS platform that allows companies to run mobile programmatic marketing in-house.
Programmatic marketing, put simply, is the process of automating the buying and selling of digital ads in real-time. Programmatic in-housing takes this one step further by allowing advertisers to fully own the technology stack and skills required in this process.
Programmatic in-housing is still in its early days of adoption in the mobile advertising market. This is where we have an impact!

  • Working on large scale machine learning and data challenges that impact millions of people around the globe
  • Building and maintaining a data infrastructure, services and pipelines that make data more accessible to the teams
  • Developing and maintaining the machine learning pipelines using Docker, Airflow, Spark, and more ml-ops solutions
  • Maintaining, scaling, and improving our research cluster to support the data-science team
  • Working on a large variety of different tasks mostly around optimization problems in various clusters.
  • Participate in code and design reviews for our machine learning applications to maintain our high coding standards
  • This position will play a crucial role in the full product development lifecycle. Machine-learning is the core of our business, and the role will be responsible for supporting our research and moving research to production

  • 3+ years of experience handling machine learning and data-pipelines operations.
  • Excellent coding skills with the attitude of clean code, reproducibility, and testing
  • Experience with ml-ops tools, data engineering, and dev-ops
  • Good scripting for sure ( Python )
  • Spark
  • Basic SQL
  • Having some idea of airflow would be good to have ( can be picked up )
  • Our data pipelines and job management consists of Spark, Hadoop, Airflow, and Docker and you need to be comfortable with managing and improving these pipelines
  • Familiarity with Linux
  • A willingness to dive deep, experiment rapidly and get things done
  • Self-starter attitude with a goal-driven mindset
  • Ad-tech, marketing-tech experience is a big plus
  • Advanced SQL is a big plus

What do we offer?
  • Working in the exciting and fast-growing mobile ad-tech space
  • Developing machine learning models and immediately seeing the impact of your work
  • Valuable insights into mobile marketing and entrepreneurship
  • Working directly with the management and co-founders
  • Excellent learning culture, and we really mean it
  • Being part of a fun, international team of an outstanding tale