Kayzen 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!
You will work with a carefully selected, diverse and globally distributed team from customer success, engineering, data science, design, product and more. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry.
We would like you to be part of our journey, as our Machine Learning Operations Engineer (m/f/d).
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 )
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