Job description

Essential:

Very good theoretical knowledge about machine learning, non-linear optimization and computational statistics
Experience in software engineering skills to prototype algorithms
Backend development, independent of the programming language to fully implement algorithms
Enjoys pair programming, code reviews and knowledge sharing
Good English skills (written and verbal)

Good to have:

Scala experience
Python and machine learning related libraries such as scikit-learn, TensorFlow, Keras or panda
Knowledge in big data technologies e.g., HDFS, MapReduce, Spark, Flink, Hive, Presto, Cassandra or Kafka
Micro services architecture
Continuous Integration
Docker Scrum, Kanban
Jira, Confluence