LINKIT is een IT-dienstverlener en al ruim 21 jaar gespecialiseerd in het bedenken, bouwen en beheren van innovatieve IT-oplossingen voor multinationals en overheden.

KLM's Digital Transformation department (DT) develops cutting edge digital solutions to any part of KLM's operations. Many of these solutions are based on Machine Learning or contain important Data Science components. As the DT family grows, existing projects mature and many new experiments are set, we find ourselves in need of further professionalizing our Software engineering domain.

DT's vision for doing innovation centers around tight-knit, interdisciplinary teams, capable of owning every aspect of the context of their project and business problem. This means the team always comes first. As a Software Engineer in one of these teams, you do not retreat into your own corner, getting thrown some engineering task, and throwing the resulting pipeline back over the fence; you will own the entire project together with the rest of the team; you will mesh your expertise with those of your data scientist team members, producing a team that is better than the sum of its parts.

Your day-to-day work includes the following:

· Deploy production-grade Data Science projects using on-premise or public cloud infrastructure

  • Work together with data scientists to ingest and process data (ETL, ML)
  • Produce robust, reliable, testable code
  • Build automation for testing, building and deployment

The frameworks we expect the Software engineer to be experienced in:

  • Microsoft Azure (although preferred, AWS or GCP is also acceptable)
  • Containers and Kubernetes
  • Git, Bamboo, Bitbucket
  • Scripting (Bash, Python)

Frameworks that are nice to be familiar with:

  • Mlflow, Kubeflow, Pachyderm
  • Tensorflow, Pandas NumPy, Scikit-Learn, etc.
  • Hadoop, Hbase, Hive
  • Spark, Kafka



Rutger Horsting
ZZP, freelance, interim vacature


start project:
duur opdracht:
2 maanden
uren per week:
40 uur
24-01-2020 13:27:02