◉ Berlin, Bangalore, Remote

Company:
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!


Responsibilities

• 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

Requirements

• 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