Senior Machine Learning Engineer

We are looking for a Data Science / Machine Learning Engineer to extend our team focused on industry-leading realtime decision-making tools and automation. We have a brilliant team of Data Engineers and Software Developers  working on cutting edge data processing pipelines with extraordinary flexibility in combining realtime and DWH data, and we want to expand our capabilities based on predictions and classification.


  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
  • Work with domain experts to understand the data and drive customer segments and behaviour insights.
  • Code deliverables in tandem with the engineering team.


  • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Proficiency in at least one of the following programming languages: Java, Scala, C#, JavaScript or Python; we are looking for engineers capable of writing code but the language does not really matter as long as you are willing to learn.
  • Working experience with Relational Databases, solid knowledge of SQL.


Nice to have skills – and willing to learn:

  • Experience using Kafka streams and KSQL.
  • Experience with GCP and Linux systems.
  • Experience with Hadoop/Hbase/Pig or MapReduce/BigQuery/Bigtable.
  • Experience working in a distributed, agile team focused on following DevOps best practices for scalable, reliable and observable systems.


Apply for this job now! HR team will never use any personal information it receives from you for any purpose beyond recruitment, employment or reference checks, and strongly believes in the importance of keeping the personal information private.


  • Shiny new and modern office.

  • Health insurance or gym membership, or a mix of both.

  • Dental Services.

  • Daily catered lunch.

  • Fruit day.

  • Massage at work.

  • Private healthcare and dental care discounts.

  • We hold team-building activities and office parties throughout the year.

  • We have an ever-growing library (online & offline).

  • Flexible schedule.

  • A fun entertainment corner.

  • Internal & external training.

  • Health and well-being in house programs.