The Machine Learning Infrastructure Engineer will be working on the
infrastructure to run machine learning models in near real-time. This
involves building scalable, highly performant data pipelines and
architecting the underlying platform. Do you love to design and develop
scalable infrastructure? We are looking for colleagues who want to help
our clients deliver optimal and personalized marketing outcomes using
machine learning.
Requirements
Your role as a Machine Learning Infrastructure Engineer is to be
creative in delivering scalable solutions to complex features and setup
an infrastructure that handles thousands of predictions per second.
Therefore we would love to see you have:
- Experience with Spark, Scala and Python
- At least one year experience working with a JVM language (Java / Scala)
- Experience with streaming processing technologies such as Spark Streaming, Kafka or Kinesis
- A high coding standard and ability to judge implications for performance of processes
- Nice to have: experience with machine learning
We would like to have a human conversation, again. Hello. How are you?
At
Relay42 we are here to humanise digital marketing. We make sure
marketeers speak to the right person, in the right language, at the
right time, in the right place. Why? To fulfil the promise of big data
and fix the broken customer journey. Let us introduce ourselves.
Relay42
has grown from a start-up to a champion in data marketing technology in
Europe. Our Development team is in the core of our business. The team
has a variety of disciplines and decisions are made together as a whole.
We work cross country and have multiple nationalities in the
Development team. We welcome new ideas and offer the opportunity to
explore and develop these further. Together we will conquer and break
down the 'walled gardens' in the world of online marketing. Are you
ready to connect?
Apply now? Let’s start the conversation!
