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.
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