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