Machine Learning Operations Engineer (m/f/d)

About Kayzen

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!

The Team

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).

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