You may not need to train models or build ML pipelines on a daily basis.
Instead, the focus is on the development of tools that help other developers, ML engineers, and practitioners build their AI solutions using Qdrant products.
Tasks that a successful candidate will work on include:
Work on Python-based libraries that extend the Qdrant ecosystem. Examples: